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Modern Deep Learning Design and Application Development [2021]

1
A Deep Dive into Keras
2
Pretraining Strategies and Transfer Learning
3
The Versatility of Autoencoders
4
Model Compression for Practical Deployment
5
Automating Model Design with Meta-optimization
6
Successful Neural Network Architecture Design
7
Reframing Difficult Deep Learning Problems
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