Building a CNN Model for Chess Piece Recognition in Python and Tensorflow

Are you interested in learning about how to use Convolutional Neural Networks in Python to predict chess pieces? Look no further than this step-by-step tutorial! In this video, we will take you through the process of building and training a convolutional neural network model using TensorFlow and Keras. We will use a dataset of chess piece images to train the model and show you how to evaluate its performance. By the end of this tutorial, you will be able to use the trained model to predict the class of a new chess piece image

It is based on Tensorflow and keras.

Code for this video: https://github.com/feitgemel/TensorFlowProjects/tree/master/Chess

Chapters : 00:00 Intro 00:18 Installation - Python libraries 02:42 Download the dataset and prepare the folders 17:20 create the CNN model using Python 32:10 Test the model - Predict a new image

More relevant content in this playlist : https://www.youtube.com/playlist?list=PLdkryDe59y4bxVvpexwR6PMTHH6_vFXjA

A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V 
I also recommend this book for deep dive in deep learning : https://amzn.to/3TTZym7

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I am using a Samsung memory card :https://amzn.to/37JHV66

Anyone who wants to improve his/her Python skills , follow this book: https://amzn.to/37xv47j

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#Cnn

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