Cedric Chee

@cedric_chee

Software Engineer. Studying Machine Learning / Deep Learning independently. Started AI experiment 'Improving the world, one model at a time.'

Singapore
Joined November 2007
Born on July 02

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  1. Retweeted
    10 hours ago

    This new paper could potentially upend batch normalization / renorm. Let's wait and see. Self-Normalizing NNs:

  2. Jun 8

    PyTorch and Deep Learning Singapore inaugural meetup on Jul 6. Crash course of how things work in PyTorch syntax.

  3. Jun 8

    Why should one learn machine learning from scratch rather than just learning to use the available libraries?

  4. Jun 8

    Great interactive tutorial! Generative Adversarial Networks (GANs) for beginners, with TensorFlow.

  5. Retweeted
    Jun 7

    JavaScript’s new class fields: What they are, how they work, and why they are the way they are

  6. Retweeted
    Jun 7

    Singapore rising :: Singapore developer wins Apple Design Award in a first for the country and South-east Asia

  7. Jun 7

    Guy Paillet from Neuromem talk about neuromorphic computing during AI.SG inaugural meetup at IMDA Labs.

  8. Jun 7

    Laurence Liew, Director of AI.SG intro to Singapore's initiative to accelerate R&D & adoption of AI by SG ecosys via commercialization, etc

  9. Jun 7

    The unofficial website of AI.SG initiative The initiative was announced by Singapore minister of information

  10. Retweeted
    Jun 5

    Ryan Dahl (created node.js) was a Brain Resident the past year. He wrote a delightful post about his experience:

  11. Retweeted
    Jun 5

    AI devs will be able to train recurrent and conv nets with Caffe/Keras, then convert them to Apple's Core ML

  12. Retweeted
    Jun 1

    Neural network execution framework using the latest WebAssembly and WebGPU

  13. Retweeted
    Jun 1

    Countries committed to the Paris Climate Accord shaded in blue, via

  14. Jun 1

    Modern app arch beyond microservices by at SG K8S Grp meetup. 🆒1-hour demo - what is needed after dev teams hv built m/svcs app

  15. Jun 1

    James Buckett deliver the opening remarks. Lope Emano give a short intro to microservices. Meetup with SG Kubernetes User Group at Red Hat.

  16. Jun 1

    Great walkthrough of LSTMs. Would be nice if this can be published in

  17. Retweeted
    May 31
  18. Retweeted
    May 31
  19. Retweeted
    May 30

    My 3 different ways for doing backprop in : 1) high level optimizer, 2) tf.gradients, 3) from scratch

  20. Retweeted
    May 30

    Good Semi-supervised Learning that Requires a Bad GAN.

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