Artificial Intelligence, Machine Learning, and Deep Learning
暫譯: 人工智慧、機器學習與深度學習

Campesato, Oswald

相關主題

商品描述

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will learn about machine learning classifiers such as logistic regression, k-NN, decision trees, random forests, and SVMs. Next, the book covers deep learning architectures such as CNNs, RNNs, LSTMs, and auto encoders. Keras-based code samples are included to supplement the theoretical discussion. In addition, this book contains appendices for Keras, TensorFlow 2, and Pandas.

Features:

  • Covers an introduction to programming concepts related to AI, machine learning, and deep learning
  • Includes material on Keras, TensorFlow2 and Pandas

商品描述(中文翻譯)

本書首先介紹人工智慧(AI),接著探討機器學習、深度學習、自然語言處理(NLP)和強化學習。讀者將學習機器學習分類器,例如邏輯回歸(logistic regression)、k-NN、決策樹、隨機森林(random forests)和支持向量機(SVMs)。接下來,本書涵蓋深度學習架構,如卷積神經網絡(CNNs)、遞歸神經網絡(RNNs)、長短期記憶網絡(LSTMs)和自編碼器(auto encoders)。書中包含基於 Keras 的程式碼範例,以補充理論討論。此外,本書還包含 Keras、TensorFlow 2 和 Pandas 的附錄。

特色:


  • 涵蓋與 AI、機器學習和深度學習相關的程式設計概念介紹

  • 包含有關 Keras、TensorFlow 2 和 Pandas 的資料