Neural Networks and Deep Learning

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  • Introduction to Deep Learning
    • Analyze the major trends driving the rise of deep learning, and give examples of where and how it is applied today.
  • Neural Networks Basics
    • Set up a machine learning problem with a neural network mindset and use vectorization to speed up your models.
  • Shallow Neural Networks
    • Build a neural network with one hidden layer, using forward propagation and backpropagation.
  • Deep Neural Networks
    • Analyze the key computations underlying deep learning, then use them to build and train deep neural networks for computer vision tasks.