Deep Learning: UNIT 1 (A) PPTs: Deep Learning Fundamentals PPTs

                                                                                    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

Deep Learning: UNIT 1 (A) Notes: Deep Learning: Fundamentals Notes

                                                                             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