In this tutorial we'll be training a Deep Learning Model with PyTorch 1.7 and FastAI in a beginner-friendly way. I will explain how to use Machine Learning and the basics about how it works. At the end you will have a public website up and running where your Model is deployed using Flask, Python and Docker.
Sorry for some of the audio issues!
*Links related to Tutorial*:
Github Link: [ Ссылка ]
My example site: [ Ссылка ]
Distill Link (Visualizations): [ Ссылка ]
Docker Link: [ Ссылка ]
Render Link: [ Ссылка ]
How to Git: [ Ссылка ]
Book recommendation: [ Ссылка ]
*Other Links*:
Support me on Patreon: [ Ссылка ]
ML-Agents Discord Channel: [ Ссылка ]
Keep in touch: [ Ссылка ]
*Timestamps*:
00:00: Intro
00:30: Downloading Dataset
02:44: How Neural Networks work
05:57: Training the Model
11:17: Inside a Neural Network
13:41: Exporting the Model
15:50: Building the Website
18:04 Deploying the Website
