Tensorflow Deep Learning Projects
暫譯: TensorFlow 深度學習專案
Luca Massaron, Alberto Boschetti, Alexey Grigorev, Abhishek Thakur, Rajalingappaa Shanmugamani
- 出版商: Packt Publishing
- 出版日期: 2018-03-28
- 定價: $1,360
- 售價: 8.0 折 $1,088
- 語言: 英文
- 頁數: 320
- 裝訂: Paperback
- ISBN: 1788398068
- ISBN-13: 9781788398060
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相關分類:
DeepLearning、TensorFlow
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相關翻譯:
TensorFlow深度學習項目實戰 (簡中版)
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相關主題
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 實現高效能深度學習模型的專案
- 掌握訓練各種神經網絡的技術,並結合實際案例,如圖像處理、自然語言處理等
- 您的一站式指南,以最佳方式掌握 Tensorflow 的深度學習
**書籍描述**
Tensorflow 是目前最受歡迎的框架之一,廣泛用於機器學習,最近也應用於深度學習。它提供了一個快速、高效的框架,用於訓練各種深度學習模型,並具有非常高的準確性。本書是您掌握 Tensorflow 深度學習的指南,並提供 12 個實際專案的幫助。
本書從設置適合深度學習的 Tensorflow 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(Convolutional Neural Networks)、遞迴神經網絡(Recurrent Neural Networks)、長短期記憶網絡(LSTMs)等。在此過程中,您將構建端到端的深度學習解決方案,以解決圖像處理、企業人工智慧、自然語言處理等多種現實問題。您將訓練高效能模型,自動生成圖像標題、預測股票表現、創建智能聊天機器人、執行大規模文本分類等。本書還涵蓋了一些進階主題,如企業級實作和強化學習。
在本書結束時,您將掌握深度學習的所有概念及其在 Tensorflow 中的實作,並能夠使用 Tensorflow 構建和訓練自己的深度學習模型,以解決各種問題。
**您將學到的內容**
- 設置深度學習的 Tensorflow 環境
- 構建自己的卷積網絡以進行有效的圖像處理
- 使用 LSTMs 生成圖像的標題
- 準確預測股票走勢,使用 LSTM 架構
- 通過檢測重複的 Quora 問題來了解語義匹配
- 設置 AWS 實例以進行分散式計算,分類大量圖像
- 訓練並設置一個智能聊天機器人,以理解和解釋人類輸入
- 構建一個能夠獨立玩 Pacman 並獲勝的人工智慧