Neural Networks and Backpropagation

Beginner 0(0 Ratings) 0 Students enrolled English
Created by Admin corner
Last updated Wed, 08-Jun-2022
+ View more
Course overview
Lecture Details

Artificial Neural Networks (ANNs) were pioneered in 1940s, received a lot of hype in the 1950s, were re-discovered in the 1980s with the Backpropagation algorithm, and are now transforming the field of Machine Learning

Curriculum for this course
12 Lessons 00:49:56 Hours
Neural Networks
12 Lessons 00:49:56 Hours
  • A 3-minute history
    Preview 00:03:32
  • machine learning = feature engineering
    00:04:58
  • axons, dendrites, synapses
    00:03:22
  • McCulloch & Pitts neuron
    00:03:29
  • feedforward, recurrent and RBM
    00:04:56
  • solving XOR with a hidden layer
    00:05:53
  • universal approximation
    00:02:28
  • hidden units = features
    00:05:44
  • derivatives we need for backprop
    00:03:07
  • Back propagation: how it works
    00:06:07
  • Backpropagation in detail
    00:05:12
  • multiclass classification
    00:01:08
+ View more
Other related courses
12:40:21 Hours
0 1 Free
29:17:17 Hours
Updated Tue, 07-Jun-2022
0 0 Free
08:06:34 Hours
Updated Tue, 07-Jun-2022
0 0 Free
31:58:27 Hours
0 0 Free
18:45:19 Hours
0 0 Free
About instructor

Admin corner

0 Reviews | 5 Students | 47 Courses
Student feedback
0
0 Reviews
  • (0)
  • (0)
  • (0)
  • (0)
  • (0)

Reviews

Free
Includes: