Deep Learning from Scratch

Deep Learning from Scratch

作者: Weidman Seth
出版社: O'Reilly
出版在: 2019-10-01
ISBN-13: 9781492041412
ISBN-10: 1492041416
裝訂格式: Quality Paper - also called trade paper
總頁數: 252 頁





內容描述


With the reinvigoration of neural networks in the 2000s, deep learning is now paving the way for modern machine learning. This practical book provides a solid foundation in how deep learning works for data scientists and software engineers with a background in machine learning.
Author Seth Weidman shows you how to implement multilayer neural networks, convolutional neural networks, and recurrent neural networks from scratch. Using these networks as building blocks, you'll learn how to build advanced architectures such as image captioning and Neural Turing machines (NTMs). You'll also explore the math behind the theories.


作者介紹


Seth Weidman is a data scientist who has applied and taught machine learning concepts for several years. He started out as the first data scientist at Trunk Club, where he built lead scoring models and recommender systems, and currently works at Facebook, where he builds machine learning models for their infrastructure team. In between he taught data science and machine learning for the bootcamps and on the corporate training team at Metis. He is passionate about explaining complex concepts simply, striving to find the simplicity on the other side of complexity.




相關書籍

Diagrammatic Reasoning in AI (Hardcover)

作者 Robbie T. Nakatsu

2019-10-01

機器學習(Python+sklearn+TensorFlow 2.0)-微課視頻版

作者 王衡軍

2019-10-01

OpenCV 實例精解

作者 普拉蒂克·喬希 (Prateek Joshi) 大衛·米蘭·埃斯克裡瓦 (David Millán Escrivá)

2019-10-01