Functional APIs-A conversation with Andrew Ng
A conversation with Andrew Ng: Overview of the specialization
()
A conversation with Andrew Ng: Overview of course 1
()
Functional APIs-Functional APIs
Welcome to the course
()
Introduction to the Functional APIs
()
Functional APIs-Using the Functional APIs
Declaring and stacking layers
()
Branching models
()
Learn more about the Inception Model Architecture
Functional APIs-Creating a Multi-Output Architecture
Creating a Multi-Output model
()
Energy efficiency dataset
Multi-Output code walkthrough
()
Functional APIs-Siamese Network
Siamese network: a Multiple-Input model
()
References about the Siamese network
Coding a Multi-Input Siamese network
()
Reference "The distance between two vectors"
Siamese network code walkthrough
()
Functional APIs-Lecture Notes (Optional)
Lecture Notes Week 1
Functional APIs-Assignment: Functional API
(Optional) Downloading your Notebook and Refreshing your Workspace
Custom Loss Functions-Custom loss functions
Welcome to Week 2
()
Creating a custom loss function
()
Huber Loss reference
Coding the Huber Loss function
()
Huber Loss code walkthrough
()
Custom Loss Functions-Custom loss hyperparameters and classes
Adding hyperparameters to custom loss functions
()
Turning loss functions into classes
()
Huber Object Loss code walkthrough
()
Custom Loss Functions-Contrastive Loss
Contrastive Loss
()
Reference: Dimensionality reduction by Learning an Invariant Mapping
Coding Contrastive Loss
()
Custom Loss Functions-Lecture Notes (Optional)
Lecture Notes Week 2
Custom Layers-Custom lambda layers
Intro custom layers
()
Introduction to Lambda Layers
()
Custom Functions from Lambda Layers
()
Exploring custom Relu with Lambda Layers
()
Custom Layers-Implementing Custom Layers
Architecture of a Custom Layer
()
Coding your own custom Dense Layer
()
Training a neural network with your Custom Layer
()
Custom Layer code walkthrough
()
Custom Layers-Activating Custom Layers
Activating your Custom Layer
()
Custom Layer with activation code walkthrough
()
Custom Layers-Lecture Notes (Optional)
Lecture Notes Week 3
Custom Models-Complex Architectures with the Functional API
Intro to custom models
()
Complex architectures with the Functional API
()
Coding a Wide and Deep model
()
Custom Models-Using the Model class to simplify complex architectures
Using the Model class to simplify architectures
()
Understanding Residual networks
()
Residual networks lectures (optional)
Custom Models-Implementing ResNet
Coding a Residual network with the Model class
()
ResNet code walkthrough
()
Custom Models-Lecture Notes (Optional)
Lecture Notes Week 4
Custom Models-End of Access to Lab Notebooks
[IMPORTANT] Reminder about end of access to Lab Notebooks
Bonus Content - Callbacks-Built-in Callbacks
Built-in Callbacks
()
TensorBoard visualization toolkit
Bonus Content - Callbacks-Custom Callbacks
Custom Callbacks
()
Custom Callbacks code walkthrough
()
Bonus Content - Callbacks-Lecture Notes (Optional)
Lecture Notes Week 5
Bonus Content - Callbacks-Course Resources
References
Bonus Content - Callbacks-Acknowledgments
Acknowledgments