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Table of contents


  Welcome to Deep Learning 101!
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  Module 1: Introduction to Deep Learning
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  Module 2: Building blocks of Deep Learning
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  Module 3: Exercise - Let's build a simple Neural Network
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  Module 4: Hyperparameters of Neural Networks
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  Module 5: Over/underfitting problem and solutions
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  Module 6: Unstable Gradients
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  Module 7: Computational time
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  Module 8: Exercise - Setting up neural networks
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  Module 9: Model diagnosis and making improvements
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  Module 10: Hyperparameter tuning
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  Module 11: Exercise - Improving the model
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  BONUS: RNNs and CNNs (coming soon)
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  Final Project - Building a web app (coming soon)
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  Congratulations on finishing the course!
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  Continue learning...
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