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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks

(ebook) (audiobook) (audiobook) Książka w języku 1
Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Ahmed Menshawy - okladka książki

Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Ahmed Menshawy - okladka książki

Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Ahmed Menshawy - audiobook MP3

Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks Ahmed Menshawy - audiobook CD

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Deep learning is a popular subset of machine learning, and it allows you to build complex models that are faster and give more accurate predictions. This book is your companion to take your first steps into the world of deep learning, with hands-on examples to boost your understanding of the topic.
This book starts with a quick overview of the essential concepts of data science and machine learning which are required to get started with deep learning. It introduces you to Tensorflow, the most widely used machine learning library for training deep learning models. You will then work on your first deep learning problem by training a deep feed-forward neural network for digit classification, and move on to tackle other real-world problems in computer vision, language processing, sentiment analysis, and more. Advanced deep learning models such as generative adversarial networks and their applications are also covered in this book.
By the end of this book, you will have a solid understanding of all the essential concepts in deep learning. With the help of the examples and code provided in this book, you will be equipped to train your own deep learning models with more confidence.

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O autorze książki

Ahmed Menshawy is a Research Engineer at the Trinity College Dublin, Ireland. He has more than 5 years of working experience in the area of ML and NLP. He holds an MSc in Advanced Computer Science. He started his Career as a Teaching Assistant at the Department of Computer Science, Helwan University, Cairo, Egypt. He taught several advanced ML and NLP courses such as ML, Image Processing, and so on. He was involved in implementing the state-of-the-art system for Arabic Text to Speech. He was the main ML specialist at the Industrial research and development lab at IST Networks, based in Egypt.

Packt Publishing - inne książki

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