Python Deep Learning Cookbook: Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python

Indra den Bakker

買這商品的人也買了...

相關主題

商品描述

Key Features

  • Over 100 recipes on mathematical theory of each deep learning algorithm , its implementation and a bunch of related techniques for using them
  • Provides explanation with examples covering deep learning algorithms using popular python frameworks like TensorFlow, Caffe, Keras, Theano
  • Your ideal companion to train models involving neural networks problem and tuning it for a completely different problem, and getting impressive results.

Book Description

Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics.

The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras, Caffe or Theano is provided. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios.

What you will learn

  • Select the best Python framework for deep learning to use in case of specific problems/requirements
  • Understand the definition of neural network models
  • Learn to apply tips and tricks related to neural networks internals, to boost learning performances
  • Consolidate machine learning principles and apply them in the deep learning field
  • Reuse and adapt Python code snippets to everyday problems
  • Evaluate the cost/benefits and performance implication of each discussed solution

商品描述(中文翻譯)

主要特點


  • 超過100個關於每個深度學習算法的數學理論、實現以及相關技巧的食譜

  • 使用流行的Python框架(如TensorFlow、Caffe、Keras、Theano)提供示例解釋深度學習算法

  • 是訓練涉及神經網絡問題並調整其以解決完全不同問題並獲得令人印象深刻結果的理想伴侶

書籍描述

深度學習正在革新各個行業。對於許多應用來說,深度學習已經證明通過更快、更準確的預測超越了人類。本書提供了一種自上而下和自下而上的方法,展示了深度學習在不同領域的實際問題上的解決方案。這些應用包括計算機視覺、自然語言處理、時間序列和機器人技術。

《Python深度學習食譜》提供了解決問題的技術解決方案,並對解決方案進行了詳細解釋。此外,還提供了使用TensorFlow、PyTorch、Keras、Caffe或Theano等流行框架實現所提出解決方案的相應優點和缺點的討論。本書的主要目的是為Python程序員提供一個詳細的食譜列表,以將深度學習應用於常見和不太常見的情景。

你將學到什麼


  • 根據特定問題/需求選擇最佳的Python深度學習框架

  • 了解神經網絡模型的定義

  • 學習應用於神經網絡內部的技巧和訣竅,以提高學習性能

  • 鞏固機器學習原理並應用於深度學習領域

  • 重用和適應Python代碼片段以解決日常問題

  • 評估每個討論解決方案的成本效益和性能影響