Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras (使用 Python 的深度學習應用：聊天機器人及面部、物體與語音識別（搭配 TensorFlow 和 Keras）)

Navin Kumar Manaswi

Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

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商品描述

Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.
 
This book covers intermediate and advanced levels of deep learning, including convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn. 
 
What You Will Learn 
  • Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
  • Build face recognition and face detection capabilities
  • Create speech-to-text and text-to-speech functionality
  • Make chatbots using deep learning
 
Who This Book Is For
 
Data scientists and developers who want to adapt and build deep learning applications.
 
 

商品描述(中文翻譯)

建立深度學習應用程式，例如電腦視覺、語音辨識和聊天機器人，使用TensorFlow和Keras等框架。本書將幫助您在短時間內提升實踐知識，並專注於深度學習應用所需的領域、模型和算法。《使用Python進行深度學習應用》涵蓋了聊天機器人、自然語言處理以及人臉和物體識別等主題。目標是讓您掌握創建能夠執行深度學習的程式所需的概念、技術和算法實現。

本書涵蓋了深度學習的中級和高級水平，包括卷積神經網絡、循環神經網絡和多層感知器。它還討論了流行的API，如IBM Watson、Microsoft Azure和scikit-learn。

您將學到什麼：
- 使用TensorFlow、Keras和scikit-learn等各種深度學習框架。
- 建立人臉識別和人臉檢測功能。
- 創建語音轉文字和文字轉語音功能。
- 使用深度學習製作聊天機器人。

本書適合對適應和建立深度學習應用程式感興趣的數據科學家和開發人員。

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