A New Programming Paradigm-A new programming paradigm
Introduction: A conversation with Andrew Ng
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Where to find the notebooks for this course
A primer in machine learning
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The ‘Hello World’ of neural networks
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From rules to data
Working through ‘Hello World’ in TensorFlow and Python
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FAQs about Google Colab (optional)
Try it for yourself (Lab 1)
A New Programming Paradigm-Lecture Notes (Optional)
Lecture Notes Week 1
A New Programming Paradigm-Weekly Assignment - Your First Neural Network
Assignment Troubleshooting Tips
(Optional) Downloading your Notebook and Refreshing your Workspace
Week 1 Resources
Introduction to Computer Vision-Introduction to Computer Vision
A Conversation with Andrew Ng
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An Introduction to computer vision
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Exploring how to use data
Writing code to load training data
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The structure of Fashion MNIST data
Coding a Computer Vision Neural Network
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See how it's done
Walk through a Notebook for computer vision
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Get hands-on with computer vision (Lab 1)
Using Callbacks to control training
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See how to implement Callbacks (Lab 2)
Walk through a notebook with Callbacks
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Introduction to Computer Vision-Lecture Notes (Optional)
Lecture Notes Week 2
Enhancing Vision with Convolutional Neural Networks-Enhancing Vision with Convolutional Neural Networks
A conversation with Andrew Ng
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What are convolutions and pooling?
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Coding convolutions and pooling layers
Implementing convolutional layers
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Learn more about convolutions
Implementing pooling layers
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Getting hands-on, your first ConvNet
Improving the Fashion classifier with convolutions
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Try it for yourself (Lab 1)
Walking through convolutions
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Experiment with filters and pools (Lab 2)
Enhancing Vision with Convolutional Neural Networks-Lecture Notes (Optional)
Lecture Notes Week 3
Using Real-world Images-Using Real-world Images
A conversation with Andrew Ng
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Explore an impactful, real-world solution
Understanding ImageDataGenerator
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Designing the neural network
Defining a ConvNet to use complex images
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Train the ConvNet with ImageDataGenerator
Training the ConvNet
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Exploring the solution
Walking through developing a ConvNet
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Training the neural network
Walking through training the ConvNet
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Experiment with the horse or human classifier (Lab 1)
Adding automatic validation to test accuracy
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Get hands-on and use validation (Lab 2)
Exploring the impact of compressing images
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Get Hands-on with compacted images (Lab 3)
Using Real-world Images-Lecture Notes (Optional)
Lecture Notes Week 4
Using Real-world Images-End of Access to Lab Notebooks
[IMPORTANT] Reminder about end of access to Lab Notebooks
Using Real-world Images-Course 1 Wrap up
Wrap up
A conversation with Andrew
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Using Real-world Images-Acknowledgments
Acknowledgments