Coding up and Training the Email Classifying Neural Network in Python

In this video, we code up the Neural Network that will help us classify emails. We use the DeepRoots repository on github to assemble the neural network. The DeepRoots repository contains the various pieces of the neural network coded up in the previous vides in this course series.

By the end of the video you would have understood practically how a neural network is trained.

This series is taught by Dr Anil Variyar, who has a PhD in Aeronautics and Astronautics from Stanford University.

#deeplearning #artificialintelligence #machinelearning #neuralnetworks
#python

Resources:
Deep Roots Repository on github : https://github.com/pixagan/DeepRoots
Lecture on Gradient Descent : https://youtu.be/NQZ82u-0Wvo
Course URL on Pixagan : https://pixagan.ai/courses/neural-networks-for-classification
Video Sections:
00:00 - Intro
03:10 - Network Architecture
04:20 - Parameters and Hyper-parameters
10:00 - Intro to DeepRoots
17:05 - Coding up the Neural Network in Python with DeepRoots
42:00 - Visualizing the Results
56:25 - Conclusion

Видео Coding up and Training the Email Classifying Neural Network in Python канала Pixagan AI