Cnn classifieremplois

Nous recherchons des personnes dont la langue maternelle est le français et qui ont rédigé une mémoire de fin d'études en français. Pour les Références. Il vous suffit de trouver toutes les références au bas de mes articles et de les classer par format et par type d'article. Pour les filmographies, il vous suffit de lire mon article et de trouver tous les titres de films et de les classer pour moi. J'ai déjà fait la plupart d'entre eux, vous pouvez donc m'aider à trouver ceux que je n'ai pas encore faits !

theme : Comparison with different Transfert Leraning models of Detection and Classification of Diabetic Retinopathy EXPLICATION: • modifier des modèles CNN prés-entrainée la Rétinopathie Diabétique capable de classer des images rétiniennes en fonction de la pathologie présentée. • Evaluer les modèles proposés par différents métriques utilisé dans la littérature. • Faire une comparaison entre ses modèles( Accuracy , Sensitivity,Specificity ) (accuracy plus de 80%) • code source avec python sur google colab • dataset Ne pas dépasser 8 Go •La durée est de 3 jours ou 4 jours maximum

Parler du mouvement des BLM aux États-Unis et qui a émergé dans le monde entier. Ma problématique se pencherait sur la manière dont ce mouvement, qui lutte pour une bonne raison, pourrait être vu comme une atte... pourrait être vu comme une atteinte à l’espace public. Un espace que l’on considère comme sécurisé mais qui est devenu un espace de violence et de contamination du à l’actualité mondiale qui est le covid-19 aussi connu sous le nom de coronavirus. Les informations sur le mouvement des black lives matter ainsi que les manifestations seront tirer des grandes chaines télévisées américaine tel que CNN ensuite plusieurs articles ont ét&ea...

Je voudrai un site un peu comme ou . Ce sera un réseau social , ou les gens pourront partager des articles d'agence de presse ( CNN ... ) ou alors construire leur propre article . Ils disposeront d'un profil / la possibilité de suivre des gens , mais il y aura aussi les tendances ( comme sur twitter ) . Lorsque nous publierons un article déjà existant sur le web ( cnn ... ) nous serons redirigé ( comme sur reddit ) . Plus de précision plus tard .

Nous sommes une entreprise qui propose un logiciel de questionnaires en ligne qui recueillie des milliers d'avis clients par mois. Nous souhaitons que les verbati...soient catégorisés par thème (exemple : sourire, rapport qualité / prix) et par sentiment (exemple : très mécontent, mécontent...). Les catégories et sous-catégories seront sélectionnables dans les menus déroulants d'une interface. Nous estimons qu'il est possible de catégoriser un verbatim client par minute en moyenne. En travaillant 7 heures pleines par jour, il est donc possible de classifier 420 verbatim par jour, 2100 par semaine et 8400 par mois. Pour le moment, nous recherchons une personne capable de ...

...: Système de mise et gestion des publicités sur tous les pages du site. Les thèmes de références sont : , www.made-in-china.com. , , www.ouedkniss.com. Les thèmes and plugins WordPress à utiliser sont pour les : • Multi-vendor : Venedor - Ultimate WordPress + WooCommerce Theme, Product Vendors plugin ; • Classifieds : ClassifiedEngine, FlatAds, Classifier, et/ou Classipress ; • Directory : DirectoryEngine ; • Social Network : bbPress. Le thème doit être caractériser au minimum par : WooFramework, fully responsive, retena ready, Bootstrap 3.x, easty to customize, powerful admin panel, unlimited color options, only free google fonts, vector icons, touch friendly, strong banner options, gr...

paramétrer mon thème classifier wordpress que j'ai déja acheté et heberger chez 1&1 pour un site de location d'objet entre particulier gratuit et réseau d'échange

I am looking for a proficient Python developer extensively experienced in Deep Learning, particularly CNN (Convolutional Neural Network), for a critical cyber security project. Your task will be to develop a system capable of efficiently identifying network intrusions. Specifically: - The system will focus on the detection of anomalies within the realm of cyber security. - User behavior data will serve as the primary source of analysis in the effort to pinpoint these intrusions. - The detection algorithm must be highly accurate, maintaining an efficiency level above 95%. Ideal candidates must have: - Proven experience with Python and CNN Deep Learning algorithms. - Previous work on cyber security systems or similar projects is a major plus. - Firm understanding of user ...

...expert to further optimize my existing CNN model that currently has an accuracy rate of over 80%. Despite the high performance, I believe there's room for improvement. Required Skills & Experience: * Extensive experience with Convolutional Neural Networks (CNNs) * Proficiency with text data processing * Track record of improving the accuracy of machine learning models Job Scope: * Review the current model and identify potential areas for improvement * Implement strategies to increase training speed and minimize overfitting * Improve the model's overall accuracy * Maintain detailed documentation on the steps taken and their impacts Despite the model's high initial accuracy, I'm ambitious about reaching even higher stats. If you're a guru at impro...

I need the FADNet CNN to be trained, optimized (purged), quantized and compiled to be used on the Xilinx DPU. You should know about NN, PyTorch, Python and the Vitis AI tools Tasks to do: - Train the NN - Optimize (prune) - Quantize - Compile

I need an experienced professional who can use Convolutional Neural Networks (CNN) to classify a dataset consisting of user-generated videos. Since this project involves working with user-generated content, the ideal candidate should have prior experience or familiarity with similar work. Key Responsibilities: - Improve search accuracy by effectively classifying the video dataset - Enhance recommendation systems - Analyze user behavior based on classification results Applicants should pay special attention to: - Providing proof of experience in using CNN for video classification tasks - Describing previous successes in improving search accuracy and enhancing recommendation systems, especially with user-generated content. With your expertise, we can properly structure o...

...Network (CNN) model built in Python that processes audio data preprocessed using Mel-frequency cepstral coefficients (MFCCs). The model currently delivers high accuracy results, but there's an issue - It consistently provides the same answer when applied to different inputs. I need an expert to investigate and resolve this issue, ensuring that the model provides accurate and varied predictions for different audio inputs. Key Requirements: - Review and diagnose the current CNN model. - Identify why the model outputs the same result for different inputs. - Implement necessary modifications to rectify the issue. - Ensure the model maintains its high accuracy while providing diverse predictions for different audio inputs. Ideal Skills and Experience: - Proficiency in Py...

...machine learning engineer with a background in medical image analysis to help me develop a system capable of identifying different types of brain tumors from MRI images. The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understanding of transfer learning te...

TASK 1 Create an object detection model using R-CNN, Yolo, or SSD. Since there's no small dataset such as MNIST and Fashion-MNIST in object detection, you can use the dataset from the d2l/notebooks/mxnet/chapter_computer-vision/ notebook. The dataset has 1000 banana images with different rotations and sizes placed randomly on some background images. 1.A Obtain the dataset. Working on a small dataset such as the one from the would allow you to train and test different models without taking hours/days to finish. Go to the notebook and obtain the dataset. 1.B Build an object detector. • using YOLO, and SSD. (need two separate notebooks) • Using the dataset, train, or fine-tune (a pre-trained model) to create an object detector

Course 1: Statistics, Probability and SQL Course 2: Machine Learning and Predictive models with Python Course 3: Apache Spark: ML on Big Data Course 4: Deep Learning and Neural Networks Course 5: Gen AI : GPT, ChatGPT, Transformers, and SAN Network Course 6: Developing with GPT using chatGPT with OpenAI API Course 7: LLM Intuition and Implementation Course 8: Artificial Neural Networks and CNN Course 9: Model Deployment : AWS, S3, and SageMaker Capstone Projects: Class time = 6 am IST from tuesday to saturday

I'm in need of a skilled developer who has expertise in deep learning, particularly Convolutional Neural Networks (CNN), and experience with popular frameworks like Tensorflow and Keras. The project will revolve around object detection using images as the primary data source. Key Requirements: - Object Detection: The primary goal of this project is to accurately detect objects in images. It is important that the model is able to identify objects of a specific size, so having experience in this area will be crucial. - Deep Learning Expertise: You should be well-versed in deep learning concepts, particularly CNNs. This will be essential in developing an effective object detection model. - Framework Proficiency: Experience working with frameworks like Tensorflow and Keras is a ...

I'm seeking a Python and deep learning expert to help me successfully implement various optical flow CNNs on my Mac m3 computer. I would specifically like assistance with the PWC-Net, SpyNet, and FlowNetLight models, in installation and setup. Key Requirements: - Proficient in Python and deep learning frameworks - Experience with optical flow CNNs - Ability to work on a Mac m3 computer The ideal candidate will be able to explain the processes in a clear and concise manner, as I am a beginner with Python and deep learning frameworks. Your help in this project will be greatly appreciated.

...field of Natural Language Processing to develop a Multimodel Classifier of memes which takes text and image as input(seperate datasets are present for both text and image') and classify the meme into given labels for my project. here is my project Key Tasks: - Handling various Natural Language Processing tasks such as text classification, image classification - Development of a Multimodel Classifier that can effectively analyze text and images. Requirements: - Proficiency in Python for implementing the Multimodel Classifier. - Prior experience in Natural Language Processing and developing classification models. - Ability to work with text and image data for training the classifier. It's essential that the freelancer has a strong understandin...

I'm working on a project that involves evaluating image quality using machine learning on an FPGA. Key Requirements: - The primary goal of this project i...primary goal of this project is to achieve highly accurate results in image quality. - The images I'll be evaluating are mostly photographs. - I'm looking to implement a Convolutional Neural Network (CNN) model for this project. Key Skills/Experience needed: - Proficiency with FPGA development, particularly with VIVADO. - Strong background in image processing and machine learning. - Previous experience with implementing CNN models on FPGA for image quality evaluations would be a great plus. If you're confident in your FPGA skills, have a background in image processing and ML, and have worked with ...

I'm in need of an expert in FPGA and machine learning with a focus on Convolutional Neural Network (CNN) and YOLO algorithms. The primary goal of this project is to evaluate image quality with the maximum possible accuracy. Some key details: - FPGA: Experience with VIVADO is highly preferred. - Machine Learning: A strong background in implementing CNN and YOLO algorithms is essential. - Image Size: The desired input image size is 416x416. The project aims to achieve high accuracy in image quality evaluation through these machine learning algorithms on the FPGA. The freelancer is expected to work closely with me to ensure the project meets the desired outcomes.

Project Quote in AUD please check

...convolutional neural networks (CNN) to create a three experiments: First experiment Create CNN models that recognize specific objects in bachelor thesis: - Headings – first level heading, subheading and third level heading - Headings text font - Headings text size - Line spacing before and after heading - Other elements in two groups: -- Other elements; -- Footnote references; - Number in front of the heading Each object will be recognised by separated CNN model. Each CNN model will have one class – it will be able to recognise only one object. Second experiment There will be only one CNN model with class for each object from first experiment. Third experiment Create CNN model that can recognize formatting errors in headings. ...

...ideally, has previous experience with Graph Neural Networks (GNN). The goal is to create a classifier that can distinguish between two classes - 0 and 1 - based on edge weights. Key Task Components: 1. Use of Python programming language for GNN classifier implementation. 2. Incorporate UNSW-NB15 Dataset to structure the graph with nodes and edges. 3. The classifier should focus specifically on the features of edges for classification. 4. Deliverable will be a GNN implementation that will classify edges of the graph using edge features This project requires knowledge of Python, GNN, and familiarity with the UNSW-NB15 Dataset. Your ability to conceptualize, develop and deliver a working GNN classifier, focusing on edge weights, is essential. Previous exp...

...currently using TensorFlow for my machine learning model. I believe the model can be significantly improved by implementing a different algorithm. In particular, I'd like to enhance the model using "Deforming CNN". Key Points: - Current ML framework: TensorFlow - Requirement for improvement: Implementing a different algorithm - Desired algorithm: Deforming CNN Ideal skills for this project: - Proficiency in TensorFlow - Understanding of Convolutional Neural Networks (CNN) - Experience with implementing and optimizing ML algorithms - Google Colab Your task would be to integrate the Deforming CNN algorithm into the existing model, troubleshoot any issues, and ensure it enhances the model's accuracy. The goal is to significantly improve th...

I'm searching for a Python developer knowledgeable in numerical data analysis. The key task of this project will be developing a Python script for classifying images. This script will then need to perform advanced data visualization tasks on numeric data. Task would be to analyze a dataset containing different types of fish breeds Images and is required to classify them using CNN based on their location and chemical compositions in various parts of an ocean/location Ideal Skills: - Excellent grasp of Python programming - Strong understanding of image classification techniques - Proficiency in numerical data analysis - Expertise in data visualization methodologies Previous experience with projects involving Python, image classification and data visualization is highly pre...

I'm seeking a skilled machine learning expert who can train a Convolutional Neural Network (CNN) for object detection, specifically tennis balls. I have my own dataset. This dataset is poor so I will need a skilled expert. I need detections on at least 50% of the frames. Key Responsibilities: - Train the CNN model on object (tennis ball) detection - Fine-tune the model for higher accuracy - Provide the trained CNN Model's code and implementation details

I'm looking for a seasoned Deep Learning programmer who can turn my existing CNN-based breast cancer detection code to include the VGG16 model. This will involve: - Complete refactoring of the code. - Implementation in Python using both TensorFlow and Keras. - Creating detailed comments to provide robust explanation and understanding of the code. Max Budget--> 2500 Min Requirement --> An equivalent implementation using any of VGG16 or VGG19. Link of the Project : The ideal candidate for this job would possess extensive experience in Neural Networks especially in VGG models, Python, TensorFlow, and Keras. Understanding of breast cancer detection methods would also be beneficial. I'm seeking a professional

So we are looking for an app developer who can do a project on infant child m...things data’s will be feeded from sensors controlled by esp32 module) Using yoso algorithm for speech detection, voices of mother, father and the caretaker voices are pre recorded. (So this project is basically abt babies in incubator…so in a room many babies will be there) so any other voices come other than those 3 it should show a stranger algorithm. Optional: Camera will be fixed and using cnn baby faces will be recorded… then in app it should status of baby.. if its crying , sleeping or laughing eg : notification in app will be baby is smiling. Therefore, past experience with this functionality, though appreciated, is not necessary for this project. The budget allocated for...

I need a Python-based machine learning program that can predict stock prices based solely on historical stock prices. Key Features: - Utilizes Historical Stock Prices: The program should be trained on historical stock price data. - Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days. - Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation. - Interactive: It should have interactive charts and graphs to better visualize the data. I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings. Ideal Skills: - Strong understanding of machine learnin...

...with specific experience in Convolutional Neural Networks. The primary goal of this project is to bolster our search engine ranking through effective link building. To achieve this, I need you to develop and implement a CNN model. The model will be trained on textual data from websites, which I have available for this purpose. Your responsibilities will include: - Developing an effective CNN model - Training the model with the available textual data - Implementing the model for link building Ideal candidate should have: - Proven experience in deep learning, specifically with CNN - Previous success in link building through machine learning - Proficiency in Python and relevant deep learning libraries - Ability to work independently and meet deadlines please don,t ...

I'm seeking the expertise of a data scientist or machine learning engineer to develop a model for classifying various types of attacks on a KDD dataset. The ideal candidate will have extensive knowledge in the use of autoencoders for feature extraction and GRU models. Key project elements include: * Professionals will need to implement an autoencoder for feature extraction with the core goal of reducing data dimensionality. Prior experience in working with high-dimensional data and in deploying autoencoders is necessary. * Subsequently, the system built should be capable of classifying Denial of Service (DoS), User to Root (U2R), and Probe attacks within the KDD dataset. Good working knowledge of GRU models and the mentioned attacks is required. * The project includes steps to ensure...

use one of the following to get high accuracy: - Convolutional Neural Network (CNN) - Radial Basis Function Network (RBF) - Extreme Learning Machine (ELM) - Support Vector Machine (SVM) - Transformer using SUN397 dataset

...mother, father, and nurse. - Alert system to indicate if any other voices are detected within a 25-meter radius of the incubator. - Live Camera Feed: - Ensure continuous live streaming of the camera fixed inside the incubator, providing CCTV monitoring. - Ensure the camera feed is accessible at all times through the app. Optional Features: - *Baby Facial Expression Indicator:* - Utilize CNN (Convolutional Neural Network) for detecting baby facial expressions. - Indicate if the baby is crying, smiling, or sleeping through the app interface. - User Interface: - Design an intuitive and user-friendly interface for easy navigation and interaction. - Ensure compatibility with various screen sizes and resolutions for both mobile and tablet devices. - Reliability and Pe...

I'm currently seeking an expert in deep learning and TensorFlow, specifically skilled in the construction and fine-tuning of Convolutional Neural Network (CNN) models. I need help with offline image classification and object detection tasks. Key requirements: - Proficiency in Deep Learning and TensorFlow. - Expertise in Convolutional Neural Networks (CNN) - Experience with image classification and object detection tasks. - Capability to work on an offline model. Candidates with prior experience in similar tasks will be given preference. Accuracy and efficiency of the created model are paramount. The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture ...

I am seeking an experienced ML Engineer to develop a sophisticated image classification model for landscapes, particularly focusing on roads, tracks, and trails. It will need to accept Geojson files or Cadastre files. Requirements: - Build and train an ML model to identify and classify roads, tracks, and trails in landscape images. - Integrate the model with current software to replace or enhance existing classification features. Further Breif: 3 weeks deadline Skills and Experience: - Previous work with image classification models. - Experience in machine learning and artificial intelligence. - Ability to work with intricate image data related to landscapes. - Strong understanding of algorithms used in identifying and classifying object types. Framework The model is to be host...

I am in need of a knowledgeable Python developer to work on a project involving ticket verification using face recognition. This is a grad project. Yo...recognizes the face that appears when the camera is turned on or not, and whether the person's name and ticket are available are displayed above the face on the screen to be printed. .The ideal candidate should possess: - Proficiency in Python. - Solid experience in working with face recognition technology. - Familiarity with Deep Learning Models, more specifically Convolutional Neural Networks (CNN), as this is the model I'd like to base the facial recognition feature on. Please note, I have already collected the necessary data to be used for the face recognition feature. Contact me if your skills and experience match...

I am looking for a professional who can build a speech recognition system for me. I haven't collected a dataset yet, so I need you to take care of this for me. Ideal Skills and Experience: - Experience with building speech recognition systems - Strong understanding of Mel Frequency Cepstral Coefficients - Proficient in Convolutional Neural Networks - Ability to work under tight deadlines Please keep in mind my need for this project to be completed as soon as possible.

More details: Have you already trained a model for the CNN self-driving car using Udacity's simulator? Yes What is the main issue you're encountering with the model? The car does not start How have you been validating the performance of the model? validated the model's performance by monitoring its accuracy metric. I am currently working on a project that involves building and refining a Convolution Neural Network (CNN) model for a self-driving car. This project demonstrate basic self driving car model using udacity car driving simulator. In this project I built a Convolution Neural Network model to predict the steering angle for a virtual car in the simulator running at a constant speed. Despite successful model configuration and established bidirectional c...

I'm currently seeking a deep learning expert, capable of developing a Convolutional Neural Network (CNN)-based model for my project. The unique challenge lies in the identification and comparison of house facades, with a special focus on windows, doors, and the general architectural style. Objectives: - Use the given data to train a deep learning model able to recognize features and architectural styles with a minimum of 80% similarity. - Identify notable window shapes and types across different house facades. - Recognize distinguishing features and architectural styles. Approach: With the use of machine learning algorithms, the model should be able to identify personal preferences in facade similarities. These results aim to reflect personal tastes in architectural aesthe...

...intricate Convolutional Neural Network (CNN) model specifically tailored for Arabic sign language detection from video to text translation. We already have a video dataset available and the codes need to be presented in .ipynb files. Testing accuracy of over 90% is expected. Your task involves: - Enhancing an existing model to develop an advanced (10+ layers) CNN model, proficient in handling Arabic sign language detection. - Exploiting the Integrated Mediapipe framework for continuous, full sentence video processing. - Ensuring the system is able to transcribe videos into text efficiently and accurately. - Documenting all code clearly and thoroughly throughout the project. Ideal Skills and Experience: - In-depth knowledge and experience with CNN models and In...

I'm seeking a deep learning specialist to execute an assignment focused on using a Generative Adversar...improvement. You need to report Frechet Inception Distance (FID) and Inception Score (IS). Experiments to perform: 1. Train cGAN and generate images according to the class labels. 2. Evaluate the generated images (at least 10 for each class) by considering them as test images and report the accuracy. Compare the accuracy with original test set images of the dataset. For this, you can train any classifier of your choice with the training data available to you. The dataset includes: • train data: training images. • train labels: training labels. • train sketch: unpaired training sketches. • test data: test images. • test labels: test labels. • tes...

I am in need of a proficient and skilled AI deep learning specialist who can write a project-specific Convolutional Neural Network (CNN) using Python. This final project deals with the processing and analysis of matrix data using a specifically designed neural network. Ideal Skills and Experience: - Extensive Python coding experience - Proven background in AI and deep learning - Strong understanding of CNNs, specifically for matrix data analysis - Experience working with square matrices Project specifics: - The neural network is to be developed and written in Python. - It will involve the processing of matrix data, specifically square matrices. - Only freelancers with a deep understanding of matrix structure should apply. This project requires a highly technical individual w...

For this project, I require a freelancer with explicit skills in Python and predictive modeling like CNN UNET,SVM,RESNET, specifically Semantic Segmentation. The primary goal is to harness AI in understanding images and mining useful insights therefrom. Using GOOGLE Colab is best for me I have code for Model i will give and i have some augmentation codes that work with colab Here's a step-by-step plan to accomplish your project:(Google Colab is Best for me) Dataset: Split your dataset into training, testing, and validation sets with ratios of 0.6, 0.2, and 0.2 respectively. You can use libraries like scikit-learn to achieve this. Augmentation: Apply various augmentation techniques to create separate augmented datasets. These techniques include: Rotation Contrast adjust...

The model has been developed and the dataset is ready. You only need your help to complete the training of the model. There are 6 datasets, and the $100 deposit is only needed. You only need to complete the training of one dataset to achieve the required inference accuracy, which has been tested and verified. We can officially accept this project and then discuss the prices for all the projects.

I NEED EXPERT ON CNN and ANN FOR MACHINE LEARNING ON PREDICTION FOR A BETTING SITE

I'm looking for a freelancer who can implement four separate deep learning models for deepfake image detection. The desired models are: - CNN - Vgg16 - Resnet50 - A fourth model of your recommendation Three datasets will be used for training and validation. I prefer the usage of FaceForensics++, CelebDF, DFDC, but I am open to other high-quality image datasets. The analysis of these models should include: - Accuracy evaluation - False positive and false negative analysis - Comprehensive comparison of model performance The freelancer has the freedom to prioritize the implementation of these models as they see fit. I am open to suggestions on the pros and cons of each model, and how they could serve my project best. In your proposal, I am particularly interested in a detailed...

...processing system tailored to my distinct specifications. Key features must incorporate Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) with 3 hidden layers. Ideal candidates will have a robust comprehension of signal processing, 1D/2D Mel Frequency Cepstral Coefficients (MFCC), and be adept at coding in either MATLAB or Python languages. This software must be designed to successfully identify isolated words ranging from one to ten. Key Skills & Experience: • MATLAB or Python programming • Proficient with ANN & CNN • Expert in Signal Processing • Knowledge of MFCC • Ability to implement 3 hidden layers in CNN I welcome professionals who are enthused about developing cutting-edge signal processing systems...

I'm seeking a skilled developer to create an efficient chatbot using the project platform. This chatbot will mainly handle three key functions: answer customer queries, provide health insurance quotes, and direct clients to the appropriate department. Essentially, this bot will act as a Virtual Customer Support, addressing users' needs accurately and promptly. The interface should encaps...addressing users' needs accurately and promptly. The interface should encapsulate a friendly and approachable feel, ensuring user comfort while enhancing communication. Ideal freelancers for this project should have significant experience in chatbot development, knowledge of health insurance, and excellent UI design skills to meet the design specifications. Programming: Learning 3. ...

I'm in need of a proficient speech recognition developer with expertise in artificial neural networks (ANN) and convolutional neural networks (CNN) to build a system able to recognize isolated words. The system needs to process spoken numbers one to ten. Proficiency in MATLAB or Python is key to succeeding in this task. Key requirements are: - Proficiency in either MATLAB or Python, as you'll be writing the code in one of these languages. - Experience with 1D or 2D Mel Frequency Cepstral Coefficients (MFCC) signal processing methods. You'll be managing input features with either of these methods. - Understanding of ANN and CNN for network implementation. - To create a system capable of recognizing isolated words, specifically the numbers one through to t...

...counting, which will be a substantial addition to your professional development portfolio. Simple Theory SSD detector We are using a SSD Single Shot Detector with a MobileNet architecture. In general, it only takes a single shot to detect whatever is in an image. That is, one for generating region proposals, one for detecting the object of each proposal. Compared to other two shot detectors like R-CNN, SSD is quite fast. MobileNet, as the name implies, is a DNN designed to run on resource constrained devices. For e.g., mobiles, ip cameras, scanners etc. Thus, SSD seasoned with a MobileNet should theoretically result in a faster, more efficient object detector. Centroid tracker Centroid tracker is one of the most reliable trackers out there. To be straightforward, the centroid tr...