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: github.com/Sebastian-Schuchma...
My example site: churros-or-samosa.site/
Distill Link (Visualizations): distill.pub/2017/feature-visu...
Docker Link: www.docker.com/products/docke...
Render Link: render.com
How to Git: support.gitkraken.com/start-h...
Book recommendation: www.oreilly.com/library/view/...
*Other Links*:
Support me on Patreon: www.patreon.com/user?u=25285137
ML-Agents Discord Channel: / discord
Keep in touch: / sebastianschuc7
*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
7 дек 2020
