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TensorLayer 2.0.2
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@zsdonghao zsdonghao released this 05 Jun 13:29
2.0.2
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Learn about vigilant mode.

Hello, we want to tell you some GOOD NEWS.
Today, AI chip is anywhere, from our phone to our car, however, it still hard for us to have our own AI chip.
To end this, TensorLayer team starts to work on AIoT and will soon support to run the TensorLayer models on the low-cost AI chip (e.g., K210) and microcontrollers (e.g., STM32). Details in the following:

  • NNoM is a higher-level layer-based Neural Network library specifically for microcontrollers (MCU), our team and the author of NNoM is working hard to make TensorLayer models to run on different MCUs. Yes! Something like BinaryNet.
  • K210 is a low-cost AI chip, we are collaborating with the designers of K210 and the Sipeed team to make TensorLayer models to run on the K210 AI chip.

If you are interested in AIoT, feel free to discuss in Slack.

TensorLayer, Sipeed, NNoM teams

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Maintain release, recommended to update.

Changed

  • change the format of network config, change related code and files; change layer act (PR #980)
  • update Seq2seq (#989)

Fixed

  • Fix dynamic model cannot track PRelu weights gradients problem (PR #982)
  • Raise .weights warning (commit)

Contributors

Assets 6
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