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Présentation Deep Learning For Beginners de Rivas, Pablo Format Broché
- Livre Informatique
Résumé :
Implementing supervised, unsupervised, and generative deep learning (DL) models using Keras and Dopamine over TensorFlow. Key Features Understand the fundamental machine learning concepts useful in deep learning Learn the underlying mathematical concepts as you implement deep learning models from scratch Explore easy-to-understand examples and use cases that will help you build a solid foundation in DL Book Description With information on the web exponentially increasing, it has become more difficult than ever to navigate through everything to find reliable content that will help you get started with deep learning. This book is designed to help you if you&rsquo...
Biographie:
ve learned through the course of the book. By the end of this book, you&rsquo...
Sommaire:
re a beginner looking to work on deep learning and build deep learning models from scratch, and already have the basic mathematical and programming knowledge required to get started. The book begins with a basic overview of machine learning, guiding you through setting up popular Python frameworks. You will also understand how to prepare data by cleaning and preprocessing it for deep learning, and gradually go on to explore neural networks. A dedicated section will give you insights into the working of neural networks by helping you get hands-on with training single and multiple layers of neurons. Later, you will cover popular neural network architectures such as CNNs, RNNs, AEs, VAEs, and GANs with the help of simple examples, and you will even build models from scratch. At the end of each chapter, you will find a question and answer section to help you test what you&rsquo...
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