Amardeep Singh Sidhu

@adssidhu86

Managing Partner @ AIEdX Building Next Generation Education System. Researcher in cross domain on learning & ML.

Mumbai, India
Vrijeme pridruživanja: travanj 2011.

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  2. Hope these students too find safe passage to their home.

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    It's tempting to think "with so many papers coming out, I should just read the *good* ones" (and even worse, "I should just *write* the good ones"). This is not a good idea. Many great ideas stem from humble beginnings, chasing only "big" ideas can result in incremental work.

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    Intuition question. You draw two vectors from an n-dimensional isotropic Gaussian where n>>1. What is the typical angle between them?

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    31. sij

    Supervised multimodal bitransformers now available in the awesome HuggingFace Transformers library!

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    29. sij

    Our Human Brain Organogenesis course has started! Enthusiastic group of international students already doing experiments with brain in our building. Very proud of amazing instructors et al

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    22. sij

    The quiet semisupervised revolution continues

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    This makes a lot of sense. Bayesian methods are computationally expensive so there needs to be a clear advantage for using them. Without good priors we don't expect good generalization. Nice work!

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    15. sij

    At NeurIPS gave a keynote on how people form their beliefs. It was amazing, and had two plot twists which made the audience stand and clap at the end; something you don't see often in academic conferences. Here's a summary, and I love how it ends.

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    16. sij

    Another sample: the distributed custom training loop API for people who prefer rolling their own training loop: Yes, in TF2.1, hand-crafted training loops are readable again, even when executing on a distributed cluster/TPU/TPU pod.

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    14. sij

    Here's my conversation with Daniel Kahneman, Nobel Prize winning economist and psychologist, author of Thinking Fast and Slow. We talk about two systems of thought in the human mind and their connection to deep learning, AI, and autonomous vehicles.

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    16. sij

    "Keras and modern convnets, on TPUs" the tutorial, entirely refreshed for Tensorflow 2.1 and its new Keras/TPU integration:

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    16. sij

    Standard convolutional layer, for comparison. With the corresponding tutorial page for those who like explanations:

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  16. 15. sij

    What is your biggest barrier while learning Machine Learning??

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  17. 14. sij

    ML-One Powered by AIEdX. Machine Learning course for everyone. Free Online Course. Online Live Sessions planned in Feb(Calendar will be out soon). Subscribe at

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    13. sij

    Finally TensorFlow 2.1.0 is out () ⚡️. This is great for our imagededup package as we rely on TensorFlow aka tf.keras to find near duplicates. And now you just need to do "pip install tensorflow" to have both CPU & GPU support. 🔤

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  19. 10. sij
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