Artificial Neural Networks with Tensorflow 2: Ann Architecture Machine Learning Projects

Sarang, Poornachandra

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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

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.