Deep Learning from Scratch
Building with Python from First Principles
暫譯: 從零開始的深度學習
Weidman, Seth
- 出版商: O'Reilly
- 出版日期: 2019-10-15
- 定價: $2,210
- 售價: 9.5 折 $2,100
- 語言: 英文
- 頁數: 252
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492041416
- ISBN-13: 9781492041412
-
相關分類:
Python、程式語言、Scratch、DeepLearning
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商品描述
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.
商品描述(中文翻譯)
隨著2000年代神經網絡的復興，深度學習現在正在為現代機器學習鋪平道路。本書為具有機器學習背景的數據科學家和軟體工程師提供了深度學習運作的堅實基礎。
作者Seth Weidman將向您展示如何從零開始實現多層神經網絡、卷積神經網絡和遞迴神經網絡。利用這些網絡作為構建塊，您將學習如何構建高級架構，例如圖像標註和神經圖靈機（Neural Turing machines, NTMs）。您還將探索理論背後的數學。
作者簡介
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.
作者簡介(中文翻譯)
Seth Weidman 是一位數據科學家，已經應用並教授機器學習概念多年。他最初是 Trunk Club 的首位數據科學家，負責建立潛在客戶評分模型和推薦系統，目前在 Facebook 工作，為其基礎設施團隊構建機器學習模型。在此期間，他在 Metis 的訓練營和企業培訓團隊教授數據科學和機器學習。他熱衷於將複雜的概念簡單化，努力在複雜的另一端找到簡單性。
