Machine Learning

                                                                                                         UNIT I (A) Deep Learning: Fundamentals 1.       Introduction 2.       Building Block of Neural Networks 3.       Layers 4.       MLPs 5.       Forward pass 6.       backward pass 7.       class 8.       trainer and optimizer 9.       The Vanishing and Exploding Gradient Problems 10.   Difficulties in Convergence 11.   Local and Spurious Optima

                                                                                                 UNIT I (A) Deep Learning: Fundamentals 1.       Introduction 2.       Building Block of Neural Networks 3.       Layers 4.       MLPs 5.       Forward pass 6.       backward pass 7.       class 8.       trainer and optimizer 9.       The Vanishing and Exploding Gradient Problems 10.   Difficulties in Convergence 11.   Local and Spurious Optima