Preview Deep Learning Crash Course for Beginners

Getting Started

1 Introduction

2 What is Deep Learning

3 Introduction to Neural Networks

4 How do Neural Networks LEARN?

5 Core terminologies used in Deep Learning

6 Activation Functions

7 Loss Functions

8 Optimizers

9 Parameters vs Hyperparameters

10 Epochs, Batches & Iterations

11 Conclusion to Terminologies

12 Introduction to Learning

13 Supervised Learning

14 Unsupervised Learning

15 Reinforcement Learning

16 Regularization

17 Introduction to Neural Network Architectures

18 Fully-Connected Feedforward Neural Nets

19 Recurrent Neural Nets

20 Convolutional Neural Nets

21 Introduction to the 5 Steps to EVERY Deep Learning Model

22 1. Gathering Data

23 2. Preprocessing the Data

24 3. Training your Model

25 4. Evaluating your Model

26 5. Optimizing your Model's Accuracy

27 Conclusion to the Course