Understanding Deep LearningExplores deep learning fundamentals, including image classification, neural network working principles, and machine learning challenges.
Hand Pose EstimationCovers hand pose estimation, regression techniques, and the evolution of image classification models from LeNet to VGG19.
Deep Learning FundamentalsIntroduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.
Neural Networks: Multilayer LearningCovers the fundamentals of multilayer neural networks and deep learning, including back-propagation and network architectures like LeNet, AlexNet, and VGG-16.