Applications of Deep Neural Networks with Keras

This book introduces readers to various deep learning architectures such as CNNs, LSTMs, GRUs, GANs, and reinforcement learning.

It focuses on applying these architectures to real-world problems like computer vision, time series analysis, security, and natural language processing.

The book uses Python with TensorFlow and Keras for implementation.