Neural Networks with TensorFlow and Keras
Neural Networks with TensorFlow and Keras: Training, Generative Models, and Reinforcement Learning
English | 2024 | ASIN : B0DG5DBSK3 | 173 Pages | PDF | 6 MB
English | 2024 | ASIN : B0DG5DBSK3 | 173 Pages | PDF | 6 MB
The book explores the core of machine learning techniques, covering essential topics such as data pre-processing, model selection, and customization. It provides a robust foundation in neural network fundamentals, supplemented by practical case studies and projects. You will explore various network topologies, including Deep Neural Networks (DNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Variational Autoencoders (VAE), Generative Adversarial Networks (GAN), and Large Language Models (LLMs). Each concept is explained with clear, step-by-step instructions and accompanied by Python code examples using the latest versions of TensorFlow and Keras, ensuring a hands-on learning experience.