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Hands-On Neural Networks. Learn how to build and train your first neural network model using Python

(ebook) (audiobook) (audiobook) Książka w języku 1
Hands-On Neural Networks. Learn how to build and train your first neural network model using Python Leonardo De Marchi, Laura Mitchell - okladka książki

Hands-On Neural Networks. Learn how to build and train your first neural network model using Python Leonardo De Marchi, Laura Mitchell - okladka książki

Hands-On Neural Networks. Learn how to build and train your first neural network model using Python Leonardo De Marchi, Laura Mitchell - audiobook MP3

Hands-On Neural Networks. Learn how to build and train your first neural network model using Python Leonardo De Marchi, Laura Mitchell - audiobook CD

Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
280
Dostępne formaty:
     PDF
     ePub
     Mobi
Neural networks play a very important role in deep learning and artificial intelligence (AI), with applications in a wide variety of domains, right from medical diagnosis, to financial forecasting, and even machine diagnostics.

Hands-On Neural Networks is designed to guide you through learning about neural networks in a practical way. The book will get you started by giving you a brief introduction to perceptron networks. You will then gain insights into machine learning and also understand what the future of AI could look like. Next, you will study how embeddings can be used to process textual data and the role of long short-term memory networks (LSTMs) in helping you solve common natural language processing (NLP) problems. The later chapters will demonstrate how you can implement advanced concepts including transfer learning, generative adversarial networks (GANs), autoencoders, and reinforcement learning. Finally, you can look forward to further content on the latest advancements in the field of neural networks.

By the end of this book, you will have the skills you need to build, train, and optimize your own neural network model that can be used to provide predictable solutions.

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