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This course introduces and tries to demystify neural networks with some small videos explaining topics such as gradient descent, forward propagation and back propagation and overfitting.
Neural Networks Demystified [Part 1: Data and Architecture].
Neural Networks Demystified [Part 2: Forward Propagation].
Neural Networks Demystified [Part 3: Gradient Descent].
Neural Networks Demystified [Part 4: Backpropagation].
Neural Networks Demystified [Part 5: Numerical Gradient Checking].
Neural Networks Demystified [Part 6: Training].
Neural Networks Demystified [Part 7: Overfitting, Testing, and Regularization].
Welch Labs
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