

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).
- This course is for complete beginners in Python and AI with a background in health care.
- 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.
- Further details will be in Google Colab notebooks for further explanations and exercises to produce your own AI tool!
- At the end of each section, there will be a few multiple choice questions to test your understanding.
You will need:
- A Google/Gmail account for logging into Google Colab to access the notebooks.
- Time: each part of the course has 7 topics and each topic requires 30 minutes to 1 hour to complete.
- 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
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7 Topics
7 Quizzes
Variables
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Variables Quiz
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Conditions
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Conditions Quiz
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Controlled flow
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Controlled flow Quiz
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Functions
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Functions Quiz
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Classes
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Classes Quiz
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Arrays
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Arrays Quiz
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Packages
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Packages Quiz
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Part 2 – Creating a simple image classifier using deep learning
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7 Topics
6 Quizzes
Data pre-processing
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Data pre-processing Quiz
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Creating testing set
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Creating testing set Quiz
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Bias-variance tradeoff
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Bias-variance tradeoff Quiz
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Creating training and evaluation sets
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Creating training and evaluation sets Quiz
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Gradient descent and backpropagation
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Gradient descent and backpropagation Quiz
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CNN basics
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CNN basics Quiz
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Building an image classifier in TensorFlow
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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!