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

Skills: Python, Matlab and Mathematica

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About the Employer:
( 7 reviews ) Manchester, United Kingdom

Project ID: #27501079

32 freelancers are bidding on average £556 for this job


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