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Machine Learning Tokyo
Award-winning nonprofit dedicated to democratizing Machine Learning. Open Source, Science & Education. Tweets by & 🤖🧠
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Machine Learning Tokyo proslijedio/la je tweet
TensorFlow 14 h
No natural graph? No problem! In episode 3 of Neural Structured Learning, Software Engineer Arjun Gopalan goes over how graphs can be synthesized from raw input data and used to train neural networks. 📈Watch now →
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Machine Learning Tokyo 7 h
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Machine Learning Tokyo proslijedio/la je tweet
Jeremy Howard 4. velj
"How to do machine learning efficiently". There's so much to love about this wonderful article.
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DeepMind 3. velj
"One of the things I really like about this article is how it integrates work from the fields of artificial intelligence, psychology, neuroscience, and evolutionary theory." editor , picks Reinforcement Learning, Fast and Slow as her review of 2019
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Suzana Ilić 3. velj
Our ML Math Reading Sessions with , and many more are so. much. fun. and the discussions are incredibly valuable. I collected a few resources that cover fundamental concepts – feel free to add to the list and send a PR.
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Suzana Ilić 4. velj
Thank you to for providing the Tinker Edge T board for the community to explore and experiment with! 🙌 it's capable of performing four tera-operations per second (TOPS) using 0.5 watts per unit of computation!! 🤯
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MIT CSAIL 3. velj
MIT's new CS class teaches you things that all the other classes don't teach you, like... 🖥️Shell tools and scripting 🖥️Vim 🖥️Data wrangling 🖥️Command-line environment 🖥️Version control Watch all 11 lectures for free here:
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Virginia Dignum 3. velj
ELIZA could do the same, or better, in a tiny fraction of the cost. Over 50 years ago! Yet an example of how is being oversold. is not the solution to all your problems! Proper engineering is: thinks first about requirements and design options!
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Alfredo Canziani 31. sij
On Tuesday, in my class, we have learnt that all a neural net does is stretching / contracting the space fabric. For example this 3-layer net (1 hidden layer of 100 positive neurons) gets its 5D logits (2D projections) linearly separable by the classifier hyperplanes (lines).
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Aakash Kumar Nain 4. velj
The biggest reasons why PyTorch became so popular on 1. Amazing model zoo. Very imp to start with a pretrained model in any comp based on NNs. 2. Compared to TF 1.x, writing models in it felt like writing C++ vs Python
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Caitlin Hudon 👩🏼‍💻 3. velj
Is there a technical podcast (or audiobook or anything else to *listen* to) that teaches ML, data science, or statistics without visual aid?
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Machine Learning Tokyo 4. velj
You don't need a PhD, you don't even need to finish high school, as long as you pass the "hardcore coding test" and demonstrate a deep understanding of AI and its deployment. Did we get this right ?
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Elon Musk 3. velj
Odgovor korisniku/ci @elonmusk
Our NN is initially in Python for rapid iteration, then converted to C++/C/raw metal driver code for speed (important!). Also, tons of C++/C engineers needed for vehicle control & entire rest of car. Educational background is irrelevant, but all must pass hardcore coding test.
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Allison Doerr 3. velj
Really excited to publish this Perspective today, open access! A huge project since 2001.
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Alisher Abdulkhaev 4. velj
Thanks ! This is would be very useful!
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Ross Wightman 3. velj
Added ImageNet validation results for 164 pretrained models on several datasets, incl ImageNet-A, ImageNetV2, and Imagenet-Sketch. No surprise, models with exposure to more data do quite well. Without extra, EfficientNets are holding their own.
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abhishek thakur 3. velj
yep. most of the people dont care about what degree you have as long as you understand stuff and can implement it.
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Elliot Turner 2. velj
Wow: Google's "Meena" chatbot was trained on a full TPUv3 pod (2048 TPU cores) for **30 full days** - That's more than $1,400,000 of compute time to train this chatbot model. (! 100+ petaflops of sustained compute !)
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hardmaru 3. velj
Diagrams of neural networks back when people still called them “artificial neural networks” looked more like biological neural networks.
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Machine Learning Tokyo 2. velj
Monday is Math Day. 🧮
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