Getting Started with TensorFlow > PACKT 원서리스트

1: TensorFlow – Basic Concepts
Machine learning and deep learning basics
TensorFlow A general overview
Python basics
Installing TensorFlow
First working session
Data Flow Graphs
TensorFlow programming model
Summary

2: Doing Math with TensorFlow
The tensor data structure
Complex numbers and fractals
Computing gradients
Random numbers
Solving partial differential equations
Summary

3: Starting with Machine Learning
The linear regressionalgorithm
The MNIST dataset
Classifiers
Data clustering
Summary

4: Introducing Neural Networks
What are artificial neural networks?
Single Layer Perceptron
The logistic regression
Multi Layer Perceptron
Summary

5: Deep Learning
Deep learning techniques
Summary

6: GPU Programming and Serving with TensorFlow
GPU programming
TensorFlow Serving
Loading and exporting a TensorFlow model
Summary