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Deep Learning CNN In Python Without Using Keras

Deep Learning CNN In Python

CNN in Python to classify special images on the Dataset.

The methods used in the code are those described in details we provide after the agreement and may be improved.

The Training accuracy must be better than 95% on any label

The validation accuracy must be better than 85% on any label

The testing accuracy must be better than 80% on any label

The code should be heavily commented.

Each Line comment should have at least two pieces of information from the following:

1) what is the line of code doing

2) why line of code is doing that.

3) What is the aim to be achieved later from this line of code

The code must be in functions. NO LOOSE CODE AT ALL.

Functions must do one simple task. Except when it is nessary or convenient to do more than one task

All functions must be parameterized.

Global variables must be used as parameters to functions calls

Global variables must NOT be used in code lines directly.

Functions must be commented:

Function method or algorithm must be summerized/explained

Function parameters must be explained

The code should include training and prediction and confusion matrix and any other visualization.

The code should be in Python WITHOUT KERAS

All code to be delivered in less that 2 weeks from the start of this agreement. This is critical.

The code to be done on jupyter notebook shared with me on daily basis

It is essential I see the code every day, so that I can understand the code and ask questions.

I will review the code every day, ask questions about the code, and expect good informative replies.

This communication will done in a method as mutually agreed

The money is paid AFTER the delivery of the CNN and code is fully tested by me and meets all the requirements above

Compétences : Python, Matlab and Mathematica

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Concernant l'employeur :
( 7 commentaires ) Manchester, United Kingdom

Nº du projet : #27501079

31 freelances font une offre moyenne de 565 £ pour ce travail

schoudhary1553

Hi, Greetings! ✅checked your project details: Deep Learning CNN In Python Without Using Keras ✅Completed Time: In project deadline We have worked on 650 + Projects. I have 6 + years of the experience in same kin Plus

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(65 Commentaires)
6.4
vikulyasolnce200

Hi. Thanks for your posting. https://www.freelancer.com/u/vikulyasolnce200 I am an expert in machine learning and image processing. I have 5+ years of experiences in CNN. You will get the best results if you hire me. W Plus

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(47 Commentaires)
5.9
(36 Commentaires)
6.4
bhu1991

Hi Reading your project description, I have felt that I would be able to complete this project in a few days because I have developed lots of classification projects in Computer Vision and NLP, which you can check in m Plus

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(10 Commentaires)
5.3
arturkandalyan

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5.3
HamzaBashirr

I've read your project description. I have 2 years experience in deep learning and machine learning. Waiting for your good response

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5.2
vladgabitov02

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(23 Commentaires)
4.9
sgadou

Hi, there. I am a machine learning engineer with 5+ years of hands-on experience in Python and CNN. Carefully checked your requirements. Hope to work for you with this project. Best regards, Sgadou

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4.6
IDS008

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(10 Commentaires)
4.8
gurumail10

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4.6
engrhassanwali

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3.9
PKonstiantyn

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4.3
DavidG90

HI I am David Galic, an experienced Deep Learning expert. I developed lots of classification projects, and feel confident that I can provide the accuracy as you want. Of course, I will not use Keras models to classify, Plus

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4.2
mze5583fac62088c

Hi, I understand that you are looking for a deep learning model for image classification without using Keras. I can build the CNN from scratch in Python which can achieve your desired accuracies. The code will contain Plus

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(10 Commentaires)
4.3
fwd2018man

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3.5
Armmasud

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viduWEBmaster

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Electricmind1

Hello! Thank you for taking the time to read my application. I am an Electrical Engineer. I read your description. I'm an expert in Machine Learning and Deep Learning. I've built CNN's using frameworks and from scratc Plus

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3.3
laxyaagarwal007

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3.2
Feriver

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2.9