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Modern Deep Learning Design and Application Development [2021]
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A Deep Dive into Keras
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Pretraining Strategies and Transfer Learning
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The Versatility of Autoencoders
- 4
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Model Compression for Practical Deployment
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Automating Model Design with Meta-optimization
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Successful Neural Network Architecture Design
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Reframing Difficult Deep Learning Problems