TECHNIQUES AND APPLICATIONS
Unit I: Introduction • Introduction to Machine Learning • Training Neural NetworksUnit II: Deep Networks • Deep Neural Networks • Understanding The Theory Behind Deep Learning • Convolutional Neural Networks • Generative Models and Semi-Supervised LearningUnit III: Dimensionality Reduction • Basic Concepts in Dimensionality Reduction • Mastering CNN Architectures and Training TechniquesUnit IV: Optimization and Generalization • Optimization in Deep Learning • Generalization and Advanced Techniques in Deep Learning • Language, Learning and the BrainUnit V: Case Study and Applications • Case Studies and Applications in Deep Learning• Sample Question Paper • Index.
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