Convolutional Neural Networks - Deep Learning Basics with Python, TensorFlow and Keras

Learn to build and train a convolutional neural network (CNN) for chess piece image classification using Python, TensorFlow, and Keras. Follow along as the tutorial guides you through installing necessary libraries, preparing the dataset, creating the CNN model, and testing it on new images. Gain hands-on experience in deep learning techniques while working on a practical image recognition project. Explore recommended hardware and resources for optimal performance in training TensorFlow models, including graphics cards and desktop cameras. Enhance your Python and machine learning skills with this comprehensive guide to implementing CNNs for image classification tasks.

Intro
Installation - Python libraries
Download the dataset and prepare the folders
create the CNN model using Python
Test the model - Predict a new image