Neutral Networks and Deep Learning
Introduction to Deep LearningWhat is a neural network?Supervised Learning with Neural NetworksWhy is Deep Learning taking off?About this CourseBinary ClassificationLogistic RegressionGradient DescentDerivativesComputation graphDerivatives with a Computation GraphLogistic Regression Gradient DescentVectorizationVectorizing Logistic RegressionVectorizing Logistic Regression's Gradient OutputBroadcasting in PythonA note on python/numpy vectorsExplanation of logistic regression cost function (optional)Neural Networks OverviewNeural Network RepresentationComputing a Neural Network's OutputVectorizing across multiple examplesActivation functionsDerivatives of activation functionsGradient descent for Neural NetworksBackpropagation intuition (optional)Random InitializationDeep L-layer neural networkForward Propagation in a Deep NetworkGetting your matrix dimensions rightWhy deep representations?Building blocks of deep neural networksForward and Backward PropagationParameters vs HyperparametersWhat does this have to do with the brain?
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