Learn Neural Network Didactic Course in Online with Scratch Examples

About Neural Network:

This full course video on Neural Network tutorial will help you understand what a neural network is, how it works, and what are the different types of neural networks. You will learn how each neuron processes data, what are activation functions, and how a neuron fires. You will get an idea about backpropagation and gradient descent algorithms. You will have a look at the convolution neural network and how it identifies objects in an image. Finally, you will understand about the recurrent neural networks and lstm in detail.

Learn Neural Network Didactic Course in Online with Scratch Examples



Course Timings:

1. Animated Video  00:52

2. What Is A Neural Network  06:35

3. What is Deep Learning  07:40
4. What is Artificial Neural Network  09:00  
5. How Does Neural Network Works  10:37
6. Advantages of Neural Network 13:39
7. Applications of Neural Network  14:59
8. Future of Neural Network 17:03
9. How Does Neural Network Works  19:10
10. Types of Artificial Neural Network  29:27
11. Use Case-Problem Statement 34:57
12. Use Case-Implementation  36:17
13. Backpropagation & Gradient Descent  01:06:00
14. Loss Function  01:10:26
15. Gradient Descent 01:11:26
16. Backpropagation  01:13:07
17. Convolutional Neural Network 01:17:54
18. How Image recognition Works 01:17:58
19. Introduction to CNN  01:20:25
20. What is Convolutional Neural Network  01:20:51
21. How CNN recognize Images  01:25:34
22. Layers in Convolutional Neural Network  01:26:19
23. Use Case implementation using CNN  01:39:21
24. What is a Neural Network  02:21:24
25. Popular Neural Network  02:23:08
26. Why Recurrent Neural Network  02:24:19
27. Applications of Recurrent Neural Network  02:25:32  
28. how does an RNN works 02:28:42
29. vanishing And Exploding Gradient Problem  02:31:02
30. Long short term memory  02:35:54
31. use case implementation of LSTM  02:44:32

Copyrights: Simplilearn

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