BOOKS - PROGRAMMING - Learning Deep Learning Theory and Practice of Neural Networks, ...
US $6.89
658842
658842
Learning Deep Learning Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow
Author: Magnus Ekman
Year: 2022
Number of pages: 747
Format: PDF | EPUB
File size: 10 MB, 43 MB
Language: ENG
Year: 2022
Number of pages: 747
Format: PDF | EPUB
File size: 10 MB, 43 MB
Language: ENG
Learning Deep Learning is a complete guide to deep learning with TensorFlow, the #1 Python library for building these breakthrough applications. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience.After introducing the essential building blocks of deep neural networks, Magnus Ekman shows how to use fully connected feedforward networks and convolutional networks to solve real problems, such as predicting housing prices or classifying images. You'll learn how to represent words from a natural language, capture semantics, and develop a working natural language translator. With that foundation in place, Ekman then guides you through building a system that inputs images and describes them in natural language.