Advanced Neural Networks Beyond the Basics Video

Advanced Neural Networks Beyond the Basics Video

$19.99

Advanced Neural Networks Beyond the Basics Video

Objectives:

  1. Derive backpropagation in Neural Networks.
  2. Derive all of the algorithms necessary for back-propagation.
  3. Derive backpropagation using the Cross Entropy Loss Function.
  4. Vectorize backpropagation for m-examples.
  5. Address the Vanishing Gradient Problem in backpropagation.
  6. Implement a 3-layer architecture neural network from scratch.
  7. The three layers are input, hidden, and output.
  8. Implement a complete neural network in Python using the pandas, numpy, Matplotlib, and Scikit-learn libraries.

Instructor: Advait Jayant

Length: 2 hours

Access period: For one year starting from purchase date

SKU: 9781634627771b - Need Help? Contact Us Leave Feedback

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