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Course Outline
Introduction
Overview of Neural Networks
Understanding Convolutional Networks
Setting up Keras
Overview of Keras Features and Architecture
Overview of Keras Syntax
Understanding Keras Model Layer Organization
Configuring the Keras Backend (TensorFlow or Theano)
Implementing an Unsupervised Learning Model
Analyzing Images with a Convolutional Neural Network (CNN)
Data Preprocessing
Model Training
Training on CPU vs GPU vs TPU
Model Evaluation
Utilizing a Pre-trained Deep Learning Model
Setting up a Recurrent Neural Network (RNN)
Model Debugging
Saving the Model
Model Deployment
Monitoring a Keras Model with TensorBoard
Troubleshooting
Summary and Conclusion
Requirements
- Experience with Python Programming.
- Proficiency with the Linux command line.
Audience
- Developers
- Data scientists
21 Hours
