Название: Neural Networks with Tensorflow and Keras: Training, Generative Models, and Reinforcement LearningАвтор: Philip Hua
Издательство: Apress
Год: 2024
Страниц: 173
Язык: английский
Формат: pdf
Размер: 10.1 MB
Explore the capabilities of Machine Learning and neural networks. This comprehensive guidebook is tailored for professional programmers seeking to deepen their understanding of neural networks, Machine Learning (ML) techniques, and large language models (LLMs). 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.
