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Course Outline
Introduction
Neural Networks Overview
Comprehending Convolutional Networks
Keras Setup
Keras Features and Architecture Overview
Keras Syntax Overview
Understanding Keras Layer Organization
Configuring the Keras Backend (TensorFlow or Theano)
Implementing Unsupervised Learning Models
Image Analysis Using Convolutional Neural Networks (CNN)
Data Preprocessing
Model Training
Training on CPU vs. GPU vs. TPU
Model Evaluation
Utilizing Pre-trained Deep Learning Models
Establishing Recurrent Neural Networks (RNN)
Model Debugging
Model Persistence
Model Deployment
Keras Model Monitoring with TensorBoard
Troubleshooting
Summary and Conclusion
Requirements
- Proficiency in Python Programming.
- Familiarity with the Linux command line.
Target Audience
- Software Developers
- Data Scientists
21 Hours
