Keras 3 The Comprehensive Guide to Deep Learning with the Keras API and Python

In this book, you'll learn about:

1. Deep Learning Basics

   Understand the foundations of deep learning, machine learning, and neural networks. Learn core concepts like gradient descent, classification, and regularization to fine-tune your models and minimize loss function.

2. Model Development and Training

   Follow step-by-step instructions to build models in Keras: develop a convolutional neural network, apply the functional API for complex models, and implement transformer architecture. Use reinforcement learning to improve your models’ decision-making.

3. Generative AI Models

   Build and train your own generative AI models! Get hands-on with text to image techniques and work with variational autoencoders and generative adversarial networks.