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by Umberto Michelucci
Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python
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Front Matter
1. Optimization and Neural Networks
2. Hands-on with a Single Neuron
3. Feed-Forward Neural Networks
4. Regularization
5. Advanced Optimizers
6. Hyper-Parameter Tuning
7. Convolutional Neural Networks
8. A Brief Introduction to Recurrent Neural Networks
9. Autoencoders
10. Metric Analysis
11. Generative Adversarial Networks (GANs)
Back Matter
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Front Matter
Book cover of Applied Deep Learning with TensorFlow 2
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