Introduction to Python and a simple Image Classifier with Deep Learning (TensorFlow)

Python

In this two part course, we will introduce the basics of using Python and its package TensorFlow to demonstrate the key components of a contemporary image classifier using deep learning (i.e. Artificial Intelligence). 

  1. This course is for complete beginners in Python and AI with a background in health care.
  2. You will be very carefully guided through using Python to produce a contemporary image classifier using deep learning (i.e. creating artificial intelligence tools) for a healthcare setting.
  3. Further details will be in Google Colab notebooks for further explanations and exercises to produce your own AI tool!
  4. At the end of each section, there will be a few multiple choice questions to test your understanding.

You will need:

  1. A Google/Gmail account for logging into Google Colab to access the notebooks.
  2. Time: each part of the course has 7 topics and each topic requires 30 minutes to 1 hour to complete.
  3. Be curious and play around with the code in the notebooks. If you ever become lost and just want a reset, simply come back and re-open the notebook from the exercise link to start afresh.

Course Content

Part 1 – Introduction to Python
7 Topics
7 Quizzes
Variables
Variables Quiz
Conditions
Conditions Quiz
Controlled flow
Controlled flow Quiz
Functions
Functions Quiz
Classes
Classes Quiz
Arrays
Arrays Quiz
Packages
Packages Quiz
Part 2 – Creating a simple image classifier using deep learning
7 Topics
6 Quizzes
Data pre-processing
Data pre-processing Quiz
Creating testing set
Creating testing set Quiz
Bias-variance tradeoff
Bias-variance tradeoff Quiz
Creating training and evaluation sets
Creating training and evaluation sets Quiz
Gradient descent and backpropagation
Gradient descent and backpropagation Quiz
CNN basics
CNN basics Quiz
Building an image classifier in TensorFlow

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What's your experience? We'd love to know!
cmbigogno
Posted 9 months ago
Very useful Introduction!

I have started to learn python for my academic clinical block, and I used this course to supplement and revise some topics, which I found useful! I feel like more/info might be needed to understand more fully (I have already done other courses so have a basic understanding). But overall it was a great course!

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