Neural Networks OptimizationExplores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.
Multilayer Networks: First StepsCovers the preparation for deriving the Backprop algorithm in layered networks using multi-layer perceptrons and gradient descent.
Neural Networks: Multilayer PerceptronsCovers Multilayer Perceptrons, artificial neurons, activation functions, matrix notation, flexibility, regularization, regression, and classification tasks.
Crash course on Deep LearningCovers a crash course on deep learning, including the Mark I Perceptron, neural networks, optimization algorithms, and practical training aspects.