Deep Learning with Python [2017]

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In this course we’ll be building a Convolutional Neural Network to classify hand-written digits. By using this neural network we’ll achieve higher accuracy in this classification compared to that of a normal neural network. The way this network works is by using convolutions and filters, where the values of the kernels of our filters are actually learned by the program.

Learning goals:

  • Deep Learning
  • Convolutional Neural Networks
    • Convolutional Layer
    • Pooling Layer
    • Architectures
  • Hyperparameter Tuning
  • Visualizing convolution

Familiarity with Python, Tensorflow, and image recognition

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