Building Neural Networks from scratch in python.
This is the sixth video of the course - "Neural Networks From Scratch". This video covers the introduction to sigmoid activation function through an example. We discuss the characteristics of sigmoid activation function and its drawbacks. We also discuss the vanishing gradient problem.
Course Playlist:
[ Ссылка ]
Please like and subscribe to the channel for more videos. This will help me in assessing the interests and creating more content. Thank you!
Chapter:
0:00 Introduction
0:40 Motivation example
2:09 Sigmoid activation function
4:57 Application to Binary Classification
6:14 Advantages
7:12 Drawbacks & Issues
7:54 Vanishing Gradient Problem
9:40 Not a 0-centered function
11:21 Python Implementation
12:45 Conclusion
#sigmoidactivationfunction, #sigmoidactivationfunctioninneuralnetwork, #binarystepactivationfunction, #activationfunctioninneuralnetwork
