shaan360 / deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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Deep Learning Specialization on Coursera

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Master Deep Learning, and Break into AI

Instructor: Andrew Ng

This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera.

Goals

  • Learn the foundations of Deep Learning
  • Understand how to build neural networks
  • Learn how to lead successful machine learning projects
  • Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
  • Work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
  • Practice all these ideas in Python and in TensorFlow.

Courses

Course 1: Neural Networks and Deep Learning

Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Try notebooks in the cloud

To try out example notebooks interactively in your web browser, just click on the binder link:

Binder

Contributing

Contributions are welcome! For bug reports or requests please submit an issue.

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Deep Learning Specialization by Andrew Ng on Coursera.

License:MIT License


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Language:Jupyter Notebook 98.0%Language:Python 2.0%