Artificial Neural Networks with Tensorflow 2: Ann Architecture Machine Learning Projects
暫譯: 使用 Tensorflow 2 的人工神經網絡:ANN 架構機器學習專案

Sarang, Poornachandra

商品描述

Chapter 1: TensorFlowIntroduction What's new in TensorFlow 2
Chapter 2: A Quick Start on TensorFlow Hello World for TensorFlow using Google Colab
Chapter 3: TensorFlow Keras Integration tf.kerasImage Classification
Chapter 4: TensorFlow Hub Transfer Learning TensorFlow Hub and Keras
Chapter 5: Regression Predicting Continuous Value Output
Chapter 6: Estimators Solving Classification Problems Using Estimators
Chapter 7: Distributed Training Describing tf.distribute.Strategy

Chapter 8: Text Text ClassificationGeneration with RNN
Chapter 9: Language Translation The seq2seq model for language translation
Chapter 10: Language Understanding Using Transformer Model
Chapter 11: Image Captioning Attention-based model for captioning images
Chapter 12: Time Series Forecasting Using RNNsForecasting a univariate/multivariate time series
Chapter 13: Style Transfer Composing an image in the style of another image
Chapter 14: Image Generation using GAN Introduction to GANGenerating images using a DCGAN
Chapter 15: Image Translation Colorizing B&W images

商品描述(中文翻譯)

第1章:TensorFlow簡介
TensorFlow 2的新功能

第2章:TensorFlow快速入門
使用Google Colab的TensorFlow Hello World

第3章:TensorFlow Keras整合
tf.keras圖像分類

第4章:TensorFlow Hub
轉移學習、TensorFlow Hub與Keras

第5章:回歸
預測連續值輸出

第6章:估算器
使用估算器解決分類問題

第7章:分散式訓練
描述tf.distribute.Strategy

第8章:文本
文本分類與RNN生成

第9章:語言翻譯
用於語言翻譯的seq2seq模型

第10章:語言理解
使用Transformer模型

第11章:圖像標題
基於注意力的模型為圖像添加標題

第12章:時間序列預測
使用RNN預測單變量/多變量時間序列

第13章:風格轉換
以另一幅圖像的風格合成圖像

第14章:使用GAN生成圖像
GAN簡介,使用DCGAN生成圖像

第15章:圖像翻譯
為黑白圖像上色

作者簡介

Poornachandra Sarang has 30+ years of IT experience and is an experienced author. His work has always focused on state-of-the-art and emerging technologies. He has provided consulting services to--Sun Microsystems, Microsoft, Oracle, and Hewlett-Packard. He has been a Ph.D. advisor for Computer Science and is currently on a Thesis Advisory Committee for students pursuing Ph.D. in Computer Engineering--setting the course curriculum for both under-graduate and post-graduate courses in Computer Science/Engineering. He has delivered seminars, written articles, and provided consulting recently on Machine Learning and Deep Learning. He maintains a machine learning blog at education.abcom.com.

作者簡介(中文翻譯)

Poornachandra Sarang 擁有超過 30 年的資訊科技經驗,並且是一位經驗豐富的作者。他的工作始終專注於最先進和新興的技術。他曾為 Sun Microsystems、Microsoft、Oracle 和 Hewlett-Packard 提供諮詢服務。他曾擔任計算機科學的博士生導師,並且目前在計算機工程博士生的論文諮詢委員會中,負責設定計算機科學/工程本科及研究生課程的課程大綱。他最近在機器學習和深度學習方面舉辦了研討會、撰寫文章並提供諮詢服務。他在 education.abcom.com 維護一個機器學習的部落格。