Deel learning Classifier using convolutional layers, for xray images in Python using Tensorflow 2.x, Keras and Tensorboard

To code a classifier in Python using Tensorflow 2.x, Keras, and Tensorboard to train and classify a set of xray images with two labels only.

Please note:

The delivered source code must be clearly commented

The delivered source code must be in functions.

All functions must be small and parameterized.

No loose code in the main function

Only function calls are allowed

Functions must be simple and well commented.

No large functions.

Each function must be small and simple and does simple task

Related functions are in separate files.

Main file has only one function which is the main function

Please note only when I test the delivered code successfully I will release milestones.

The training accuracy must reach 98% or better, the test accuarcy must reach 90% or better. Training samples will be provided.

You will not ask for the release of the milestone until I finish testing which may take a week or two weeks. As I want to make sure the delivered code is robust and stable and pass testing.

The code must run in Windows Environment.

complete in 10 days or less

teach me about


transfer learning



Two milestones will be reated:

First milestone after the delivery of the complete project.

Second milestone on the successfull testing of the project and meeting all requirements.

Skills: Python, Machine Learning (ML), Tensorflow

About the Employer:
( 3 reviews ) Oxford, United Kingdom

Project ID: #24698835

Awarded to:


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49 freelancers are bidding on average £1100 for this job


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£1500 GBP in 7 days
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