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TensorFlow 2 Tutorial 9 - Pipelining #102

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Tensorflow 2 Tutorial 9 - pipelining
Oct 19, 2021
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Tensorflow 2 Tutorial 9 - review fixes
Oct 25, 2021
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TensorFlow 2 Tutorial 9 - review fixes part2
Oct 29, 2021
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4 changes: 3 additions & 1 deletion feature_examples/tensorflow2/README.md
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Expand Up @@ -6,4 +6,6 @@ This directory contains several examples showing how to use TensorFlow 2 on the

- [IMDB Sentiment Prediction](embeddings): These examples train an IPU model with an embedding layer and an LSTM to predict the sentiment of an IMDB review.

- [Inspecting tensors using custom outfeed layers and a custom optimizer](inspecting_tensors): This example trains a choice of simple fully connected models on the MNIST numeral data set and shows how tensors (containing activations and gradients) can be returned to the host via outfeeds for inspection.
- [Inspecting tensors using custom outfeed layers and a custom optimizer](inspecting_tensors): This example trains a choice of simple fully connected models on the MNIST numeral data set and shows how tensors (containing activations and gradients) can be returned to the host via outfeeds for inspection.

- [Pipelining](pipelining): Examples demonstrating and explaining different ways of using multiple IPUs. Pipelining is applied to parallelise and speed up the training.
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