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搜尋結果共 324 筆, 頁數 3 / 6
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Python Machine Learning: A Step-by-Step Guide to Scikit-Learn and TensorFlow (Includes a Python Programming Crash
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, Scikit-Learn And TensorFlow
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Hands-On Neural Networks with TensorFlow 2.0
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Applied Reinforcement Learning with Python: With Openai Gym, Tensorflow, and Keras
covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and...... more |
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What’’s New in TensorFlow 2.0
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The Python Bible Volume 4: Machine Learning (Neural Networks, Tensorflow, Sklearn, SVM)
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, Numpy, Scikit Learn, Tensorflow, Wi
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Hands-On Computer Vision with Tensorflow 2
applications, and more Key Features: Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and...... more |
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Machine Learning with Scikit-Learn and TensorFlow: Deep Learning with Python (Random Forests, Decision Trees, and
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TensorFlow Reinforcement Learning Quick Start Guide
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TensorFlow 2.0 Quick Start Guide
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Cognitive Computing Recipes: Artificial Intelligence Solutions Using Microsoft Cognitive Services and Tensorflow
solutions using Microsoft Cognitive Services APIs Apply deep learning using TensorFlow and Microsoft Cognitive Toolkit (CNTK...... more |
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, Keras, and TensorFlow, 2nd Ed
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Practical Computer Vision Applications Using Deep Learning with Cnns: With Detailed Examples in Python Using Tensorflow
. After consolidating the basics, you will use TensorFlow to build a practical image-recognition model that you will deploy to...... more |
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TensorFlow Machine Learning Projects
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Mastering Predictive Analytics with scikit-learn and TensorFlow
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Deep Learning for Beginners with TensorFlow: The basics
This book is an exploration of deep learning in Python using TensorFlow. The author guides you on how to create machine...... more |
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Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and
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TensorFlow Machine Learning Cookbook - Second Edition
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Hands-on Convolutional Neural Networks with Tensorflow
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R Deep Learning Essentials: A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2
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Introduction to Deep Learning (Black/White version): with complete Python and TensorFlow examples
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Introduction to Deep Learning: with complete Python and TensorFlow examples
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Hands-On Deep Learning for Images with TensorFlow
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AlphaGo如何戰勝人類圍棋大師：智慧硬體TensorFlow實踐 (電子書)
本書主要闡述了當前機器智慧的熱點技術——深度學習和強化學習技術的原理。在此基礎上，介紹AlphaGo結合深度學習和強化學習技術，如何戰勝人類圍棋大師的原理。接下來，將深度學習的理論轉化為實踐，給出如何通過掌握TensorFlow和...... more |
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Natural Language Processing with TensorFlow
Write modern natural language processing applications using deep learning algorithms and TensorFlow Key Features...... more |
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Intelligent Mobile Projects with TensorFlow: Build 10+ Artificial Intelligence apps using TensorFlow Mobile and Lite
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Reinforcement Learning with TensorFlow
Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow Key Features...... more |
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Tensorflow for Deep Learning: From Linear Regression to Reinforcement Learning
Learn how to solve challenging machine learning problems with TensorFlow, Googleâ s revolutionary new software library...... more |
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Deep Learning with Applications Using Python: Chatbots and Face, Object, and Speech Recognition with Tensorflow and
Industry-standard Deep Learning practices demonstrated Detailed explanations of Face Recognition, Fa... more |
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Deep Learning with Tensorflow - Second Edition
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TensorFlow Deep Learning Projects: 10 real-world projects on computer vision, machine translation, chatbots, and
Leverage the power of Tensorflow to design deep learning systems for a variety of real-world scenarios Key Features...... more |
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TensorFlow: Powerful Predictive Analytics with TensorFlow
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Mastering TensorFlow
learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models...... more |
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TensorFlow深度學習應用實踐 (電子書)
本書總的指導思想是在掌握深度學習的基本知識和特性的基礎上，培養使用TensorFlow進行實際程式設計以解決影像處理相關問題的能力。全書力求深入淺出，通過通俗易懂的語言和詳細的程式分析，介紹TensorFlow的基本用法、高級模型設計和...... more |
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TensorFlow 1.x Deep Learning Cookbook
natural language processing. In this book, you will learn how to efficiently use TensorFlow, Google’s open source framework...... more |
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Reinforcement Learning: With Open Ai, Tensorflow and Keras Using Python
Discusses Open AI and Open AI Gym with relevance to Reinforcement Learning Application of TensorFlow and Keras to...... more |
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Machine Learning with TensorFlow
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Neural Network Programming with TensorFlow
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Hands-On Deep Learning with TensorFlow
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Deep Learning with TensorFlow
this comprehensive TensorFlow guide Key Features: Learn how to implement advanced techniques in deep learning with Google’s...... more |
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TensorFlow Machine Learning Cookbook
Explore machine learning concepts using the latest numerical computing library - TensorFlow - with the help of this...... more |
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TensorFlow+Keras深度學習人工智慧實務應用
人工智慧時代來臨，必須學習的新技術 輕鬆學會「深度學習」：先學Keras再學TensorFlow ★成長最快領域：深度學習與類神經網路，是人工智慧成長最快的領域，讓電腦更接近人類的思考。 ★應用深入生活：手機語音助理、人臉識別...... more |
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TensorFlow 與 Keras：Python 深度學習應用實務
? → 解說各種類型資料的【預處理手法】 本書秉持「先圖解、再實作，而後實務應用」的精神，帶你實際使用 Python 3 + TensorFlow + Keras，訓練自己的深度學習模型 深度學習是一種「實現機器學習的技術」，能夠利用如...... more |
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輕鬆學會Google TensorFlow 2：人工智慧深度學習實作開發(第三版)
♔深入探討使用於自駕車的核心技術─先進駕駛輔助系統(ADAS)的物件偵測模型 ♔運用TensorFlow 2和Keras API的強大靈活性和控制性 [ TensorFlow 2語法更簡潔 ]學習門檻較低，使初學者更容易...... more |
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Building Machine Learning Pipelines: Automating Model Life Cycles with Tensorflow
Using machine learning for products, services, and critical business processes is quite different fr... more |
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白話深度學習與TensorFlow
本書本着「平民」起點，從「零」開始的初衷，介紹深度學習的技術與技巧，逐層鋪墊，把微積分、梯度等知識重點化整為零，把學習曲線最大程度地拉平，讓讀者有良好的代入感和親近感。本書用漫畫插圖來調節閱讀氣氛，並... more |
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OpenCV+TensorFlow深度學習與電腦視覺實戰
本書旨在掌握深度學習基本知識和特性的基礎上，培養使用TensorFlowOpenCV進行實際程式設計以解決影像處理相關問題的能力。全書力求通過通俗易懂的語言和詳細的程式分析，介紹TensorFlow的基本用法、高級模型設計和對應的程式編寫...... more |
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面向機器智能的TensorFlow實踐
本書第一部分將幫助讀者做好使用TensorFlow的准備。第1章為引言，對TensorFlow的歷史脈絡進行了簡要的梳理，並對TensorFlow的設計模式以及選擇TensorFlow作為深度學習庫的優勢和面臨的挑戰進行了討論。...... more |
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Hands-On Machine Learning With Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent
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機器學習實戰：基於Scikit-Learn和TensorFlow
本書主要分為兩部分，第一部分(第1~8章)涵蓋機器學習的基礎理論知識和基本演算法，從線性回歸到隨機森林等，可以幫助你掌握Scikit-Learn的常用方法；第二部份(第9~16章)探討深度學習和常用框架TensorFlow，手把手教你使用...... more |
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TensorFlow與自然語言處理應用
自然語言處理基礎、深度學習基礎、TensorFlow、詞嵌入(WordEmbedding)、卷積神經網路(CNN)與句子分類、迴圈神經網路(RNN)、長短期記憶(LSTM)、利用LSTM實現圖像字幕自動生成、情感分析、機器翻譯及智慧問答系統。 本書...... more |
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Tensorflow：實戰Google深度學習框架
已同步推出繁體版在台灣發行。TensorFlow是谷歌2015年開源的主流深度學習框架，目前已在谷歌、優步(Uber)、小米等科技公司廣泛應用。《Tensorflow：實戰Google深度學習框架》為使用TensorFlow深度學習框架的...... more |
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TensorFlow+Keras深度學習人工智能實踐應用
本書淺入深地講解Keras與TensorFlow深度學習類神經網絡，使用實際的數據集配合范例程序代碼介紹各種深度學習算法，並示范如何進行數據預處理、訓練數據、建立模型和預測結果。 林大貴,從事IT行業多年，在系統設計、網站開發、數字營銷...... more |
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Python深度學習：基於TensorFlow
本書共22章，分為三個部分。部分(~5章)為Python及應用數學基礎部分，介紹Python和TensorFlow的基石Numpy，深度學習框架的鼻祖Theano，以及機器學習、深度學習算法應用數學基礎等內容。第二部分(第6~20章)為...... more |
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深入淺出GAN生成對抗網路：原理剖析與TensorFlow實踐
語言來描述GAN 涉及的思想、模型與數學原理，接著便通過TensorFlow實現傳統的GAN，並討論為何一定需要生成器或判別器。接下來，重點介紹GAN 各種常見的變體，包括卷積生成對抗網路、條件對抗生成網路、迴圈一致性、改進生成對抗網路、漸近...... more |
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Applied Machine and Deep Learning with Tensorflow and Pytorch
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圖解深度學習與神經網路：從張量到TensorFlow實現
290張圖+110個可執行的Tensor Flow示例程式+演算法示例易懂的神經網路深度學習人工智慧參考書原始程式碼檔供下載本書適合神經網路、深度學習、Tensor Flow 的入門者閱讀。... more |
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Python深度學習實戰：基於TensorFlow和Keras的聊天機器人以及人臉、物體和語音識別
本書討論使用TensorFlow和Keras等框架構建深度學習應用程序，集中於所需的模型和演算法，幫助你在短時間內提高實踐技能。內容涵蓋了聊天機器人、自然語言處理、人臉和對象識別等主題。目標是提供創建能夠執行深度學習的程序所需的概念、技術...... more |
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強化學習精要：核心算法與TensorFlow實現
本書用通俗幽默的語言深入淺出地介紹了強化學習的基本算法與代碼實現，為讀者構建了一個完整的強化學習知識體系，同時介紹了這些算法的具體實現方式。 從基本的馬爾可夫決策過程，到各種復雜的強化學習算法，讀者都... more |
