Tensorflow Deep Learning Projects

Luca Massaron, Alberto Boschetti, Alexey Grigorev, Abhishek Thakur, Rajalingappaa Shanmugamani

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商品描述

Key Features

  • Projects on implementing high performance deep learning models with Tensorflow
  • Master the techniques to train different kinds of neural networks with real-world use-cases such as image processing, natural language processing, and more
  • Your one-stop guide to master deep learning with Tensorflow in the best possible manner

Book Description

Tensorflow is one of the most popular frameworks out there, used for machine learning and more recently, deep learning. It provides a fast, efficient framework for training different kinds of deep learning models, with very high accuracy. This book is your guide to master deep learning with Tensorflow, with the help of 12 real-world projects.

Starting with setting up the right Tensorflow environment for deep learning, you will see how you can train different types of deep learning models using Tensorflow - including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and more. While doing so, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, enterprise AI, natural language processing, to name a few. You will train high performance models to generate captions for images automatically, predict stocks performance, create intelligent chatbots, perform large-scale text classification and more. Some advanced aspects like implementation on an enterprise-scale and reinforcement learning are also covered in this book.

By the end of this book, you will have mastered all the concepts of deep learning and their implementation with Tensorflow - and will be able to build and train your own deep learning models with Tensorflow to tackle any kind of problem.

What you will learn

  • Set up the Tensorflow environment for deep learning
  • Construct your own convnets for effective image processing
  • Use LSTMs for caption generation for images
  • Forecast stock prediction accurately with a LSTM architecture
  • Learn what semantic matching is by detecting duplicate Quora questions
  • Set up an AWS instance for distributed computing with Tensorflow to classify large amounts of Images
  • Train and set up an intelligent chatbot to understand and interpret human input
  • Build an AI capable of playing Pacman by itself and winning

商品描述(中文翻譯)

主要特點


  • 使用Tensorflow實現高性能深度學習模型的專案

  • 掌握訓練不同類型神經網絡的技巧,並應用於實際案例,如圖像處理、自然語言處理等

  • 成為Tensorflow深度學習的一站式指南

書籍描述

Tensorflow是目前最受歡迎的框架之一,用於機器學習和最近的深度學習。它提供了一個快速、高效的框架,用於訓練不同類型的深度學習模型,並具有非常高的準確性。本書將通過12個實際專案,指導您掌握使用Tensorflow進行深度學習。

從設置正確的Tensorflow深度學習環境開始,您將學習如何使用Tensorflow訓練不同類型的深度學習模型,包括卷積神經網絡、循環神經網絡、LSTM等。在此過程中,您將構建端到端的深度學習解決方案,應對圖像處理、企業人工智能、自然語言處理等不同的實際問題。您將訓練高性能模型,自動生成圖像標題,預測股票表現,創建智能聊天機器人,進行大規模文本分類等。本書還涵蓋了一些高級主題,如企業級實施和強化學習。

通過閱讀本書,您將掌握深度學習的所有概念及其在Tensorflow中的實現,並能夠使用Tensorflow構建和訓練自己的深度學習模型,應對任何類型的問題。

您將學到什麼


  • 設置Tensorflow深度學習環境

  • 構建自己的卷積神經網絡,進行有效的圖像處理

  • 使用LSTM為圖像生成標題

  • 使用LSTM架構準確預測股票走勢

  • 通過檢測重複的Quora問題,了解語義匹配的概念

  • 設置AWS實例,使用Tensorflow進行分佈式計算,對大量圖像進行分類

  • 訓練並設置智能聊天機器人,理解和解釋人類輸入

  • 構建能夠自主玩Pacman並獲勝的人工智能