TensorFlow Extended-TF serving as another deployment option for the model and ways to install it
Introduction, A conversation with Andrew Ng
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Introduction
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Downloading the Ungraded Labs and Programming Assignments
Serving
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Installing TF Serving
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Installation link
TensorFlow Serving summary
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TensorFlow Extended-Building a model and deploying to TF Serving
Setup for serving
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Serving
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TensorFlow Extended-Passing data to and from the model
Predictions
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Passing data to serving
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Getting the predictions back
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TF server running in colab
Running the colab
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TensorFlow Extended-Looking into a more complex model using the Fashion MNIST dataset
Serving with Fashion MNIST
Complex model
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TensorFlow Extended-Lecture Notes (Optional)
Lecture Notes Week 1
TensorFlow Extended-Ungraded Exercise - Serving with MNIST
Ungraded Assignment - Serving with MNIST
Sharing pre-trained models with TensorFlow Hub-TF Hub
Introduction, A conversation with Andrew Ng
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Introduction to TF Hub
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Tensorflow Hub link
Transfer learning
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Link to saved models
Inference
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Module storage
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Colab
Sharing pre-trained models with TensorFlow Hub-Text based models
Text based models
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Word embeddings
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Pre-trained Word Embeddings
Experimenting with embeddings
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Text Classification Colab
Colab
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Sharing pre-trained models with TensorFlow Hub-Image classification
Classify cats and dogs
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MobileNet model details
Transfer learning
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Colab
Sharing pre-trained models with TensorFlow Hub-Lecture Notes (Optional)
Lecture Notes Week 2
Tensorboard: tools for model training-Overview of Tensorboard
Introduction, A conversation with Andrew Ng
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Tensorboard scalars
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tensorboard.dev
Callbacks
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Histograms
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Publishing model details
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Tensorboard: tools for model training-Local Tensorboard
Local tensorboard
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Tensorboard: tools for model training-Graphics and confusion matrix
Looking at graphics in a dataset
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More than one image
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Confusion matrix
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Multiple callbacks
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Colab
Tensorboard: tools for model training-Lecture Notes (Optional)
Lecture Notes Week 3
Federated Learning-Intro to Federated Learning
Introduction, A conversation with Andrew Ng
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Training on mobile devices
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Data at the edge
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How it works
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Federated Learning-Privacy and masking
Maintaining user privacy
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Masking
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Federated Learning-Federated Learning APIs
APIs for Federated Learning
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Example of federated learning
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Colab
[IMPORTANT] Reminder about end of access to Lab Notebooks
Outro
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What next?
(Optional) Opportunity to Mentor Other Learners
Federated Learning-Lecture Notes (Optional)
Lecture Notes Week 4