Artificial Neural Networks with Tensorflow 2: Ann Architecture Machine Learning Projects
Sarang, Poornachandra
- 出版商: Apress
- 出版日期: 2020-11-21
- 售價: $2,470
- 貴賓價: 9.5 折 $2,347
- 語言: 英文
- 頁數: 726
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1484261496
- ISBN-13: 9781484261491
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相關分類:
DeepLearning、TensorFlow、Machine Learning
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相關翻譯:
TensorFlow 2 人工神經網絡學習手冊 (簡中版)
相關主題
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
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
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.
