Basics of Deep Learning Part 4: Implementing the Feedforward Algorithm in pure Python cont'd
In this series we are going to cover the basics of deep learning. And in this video we continue to implement the feedforward algorithm by defining the function that determines the outputs of one layer in the neural network. And then, we will also see why we will need NumPy to implement the feedforward algorithm instead of using pure Python code.
Links:
Corresponding blog post (and slides): https://www.sebastian-mantey.com/post...
GitHub repo: https://github.com/SebastianMantey/De...
"Basics of Deep Learning" playlist: • Basics of Deep Learning Part 1: Introduction
If you are wondering why the slides don’t disappear even though I am typing in the jupyter notebook, I used AutoHotkey for that. Here is an article that describes how to use it:
https://www.howtogeek.com/196958/the-...
En esta página del sitio puede ver el video en línea Basics of Deep Learning Part 4: Implementing the Feedforward Algorithm in pure Python cont'd de Duración hora minuto segunda en buena calidad , que subió el usuario Sebastian Mantey 27 agosto 2018, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 1,116 veces y le gustó 25 a los espectadores. Disfruta viendo!
