We discuss in this module how to create a simple IPython Notebook to solve an image classification problem. MNIST contains a set of pictures.
1. Overview
1.1. Prerequisite
- Knowledge of Python
- Google account
1.2. Effort
- 3 hours
1.3. Topics covered
- Using Google Colab
- Running an AI application on Google Colab
1.4. Related material
Another MNIST course exist. However, this course has more information.
5. Introduction to Google Colab
Introduction to Google Colab
A Gentle Introduction to Google Colab (Web) |
6. Basic Python in Google Colab
In this module, we will take a look at some fundamental Python Concepts needed for day-to-day coding.
A Gentle Introduction to Python on Google Colab (Web) |
7. MNIST On Google colab
Next, we discuss how to create a simple IPython Notebook to solve an image classification problem. MNIST contains a set of pictures.
A PDF containing both lectures is available at Colab-and-MNIST.pdf
There are 5 videos
- DNN MNIST introduction (Part I)
- DNN MNIST introduction (Part II)
- DNN MNIST data preprocessing (Part III)
- DNN MNIST model definition (Part IV)
- DNN MNIST putting it all together (Part V)
8. Assignments
- Get an account on Google if you do not have one.
- Do the optional Basic Python Colab lab module
- Do MNIST in Colab.