         Advanced Deep Learning with Keras and Python培训

Introduction

Keras and Deep Learning Frameworks

TensorFlow and Theano back-ends
Keras vs Tensorflow
Data and Machine Learning

Tabular data, visual data, unstructured data, etc.
Unsupervised learning, supervised learning, reinforcement learning, etc.
Preparing the Development Environment

Installing and configuring Anaconda
Installing Keras with a TensorFlow back-end
Neural Networks in Keras

Using Keras functional API to build a network
Pre-processing and fitting data
Defining a Keras model
Mutiple Input and Output Networks

Building two input-networks
Representing high-cardinality data
Merging layers
Extending the two input-network
Building neural networks with multiple outputs
Solving multiple problems simultaneously
Training and Pre-Training

Training models
Saving and loading models
Using ResNet50 on models
TensorBoard

Exporting Keras logs
Visualizing a computational graph and training progress
Google Cloud

Exporting models
Uploading Keras models
Using a model in Google Cloud
Summary and Conclusion