If playback doesn't begin shortly, try restarting your device.
•
You're signed out
Videos you watch may be added to the TV's watch history and influence TV recommendations. To avoid this, cancel and sign in to YouTube on your computer.
CancelConfirm
Share
An error occurred while retrieving sharing information. Please try again later.
A friendly introduction to neural networks and deep learning.
For a code implementation, check out this repo
https://github.com/luisguiserrano/man...
This is a follow up to the Introduction to Machine Learning video.
• A Friendly Introduction to Machine Le...
Note: In this tutorial I use natural logarithms. If you used logarithms base 10, you may get different answers that I got, although at the end it doesn't matter, since using a different base for the logarithm just scales all the logarithms by a constant.
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
00:00 What is machine learning?
2:22 Gradient descent
5:07 Neural network
10:11 logistic regression
12:28 Probability
14:57 Activation Function
19:56 Error function
22:34 Node(Neuron)
24:07 Non-linear regions
31:22 Deep neural network…...more
A friendly introduction to Deep Learning and Neural Networks
14KLikes
707,601Views
2016Dec 27
A friendly introduction to neural networks and deep learning.
For a code implementation, check out this repo
https://github.com/luisguiserrano/man...
This is a follow up to the Introduction to Machine Learning video.
• A Friendly Introduction to Machine Le...
Note: In this tutorial I use natural logarithms. If you used logarithms base 10, you may get different answers that I got, although at the end it doesn't matter, since using a different base for the logarithm just scales all the logarithms by a constant.
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
00:00 What is machine learning?
2:22 Gradient descent
5:07 Neural network
10:11 logistic regression
12:28 Probability
14:57 Activation Function
19:56 Error function
22:34 Node(Neuron)
24:07 Non-linear regions
31:22 Deep neural network…...more