In this video, we'll see how we can generalize our neural network model to support multiple hidden layers (i.e. deep learning) and why doing so is helpful.
0:00 - intro
0:06 - multiple hidden layers / deep learning theory
1:47 - challenge
2:21 - solution
3:49 - code demo
4:10 - why use multiple layers / universal approximation theorem
5:40 - code demo continued
-- Code -----------------------
https://github.com/ben519/nnets-for-y...
-- Vids & Playlists ---------------------------------
Google Colab - • Introduction to Google Colab
NumPy - • Python NumPy For Your Grandma
Pandas - • Python Pandas For Your Grandpa
Neural Networks - • Neural Networks For Your Dog
-- Subscribe To Mailing List ---------------------------------
https://eepurl.com/hC1Pmj
-- Music ---------------------------------
Elite Estate by The Galaxy News
In The Lift by Fabio Poian
Walking In Manhattan by Fabio Poian
-- Support -----------------------
https://merchonate.com/gormanalysis