Frank Fletcher @ComputeLearning

CogSci / Machine Learning nerd. I study learning in general and apply computer learning models to solve real world problems. Joined June 2020

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39
Following

768
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101

Sebastian Raschka @rasbt

3 years ago

Since this seriously helped a friend the other day: If your network doesn't learn, reduce the dataset to a small batch (eg 32 examples) and try to overfit on it. The loss should be near zero (because the network should be able to memorize it); if not, there's a bug in your code.

Lightning AI ⚡️ @LightningAI

3 years ago

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Frank Fletcher @ComputeLearning

3 years ago

The fastai mooc is how I got started. I love the top-down, approach. It gets you started right out of the box. 90% of my first capstone was built on what I learned in just the first two classes. I'm deeply grateful to all the @fastdotai community. <3

Jeremy Howard @jeremyphoward

3 years ago

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merve @mervenoyann

3 years ago

I've built a @Gradio demo on how @scikit_learn classifiers perform on the same dataset 🌌 ✨ See it in action here: huggingface.co/spaces/scikit-… 👀 Keep an eye on scikit-learn organization at @huggingface for more demos! huggingface.co/scikit-learn

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Mike Tamir, PhD @MikeTamir

3 years ago

Exploring Neural Networks Visually in the Browser - Casey Primozic's Homepage bit.ly/3vq7OAZ #AI #DeepLearning #MachineLearning #DataScience

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Radek Osmulski 🇺🇦 @radekosmulski

3 years ago

nvt op Tuesday! 🤖 Remember those @kaggle kernels where a person goes meticulously though the hundreds of columns in a DataFrame to reduce their size? What if I told you there exists an automated way to do just that? 😎

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Sebastian Ruder @ ACL @seb_ruder

3 years ago

Square One Bias in NLP: Towards a Multi-Dimensional Exploration of the Research Manifold (ACL 2022) We identify the current prototypical NLP experiment (the “square one”) and assess the dimensions along which NLP papers go beyond this prototype. aclanthology.org/2022.findings-…

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Santiago @svpino

3 years ago

20 questions to practice for machine learning interviews. These questions focus mostly on neural networks. They cover some fundamental concepts you should know. ↓

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Emil Wallner @EmilWallner

3 years ago

⚡️It's LIVE: **No ML Degree** My 60-page guide on how to land your first machine learning job without a degree. Amazon: amazon.com/dp/B0B1XFF1F8 Gumroad: emilwallner.gumroad.com/l/no-ml-degree 👉 The resources that *really* matter, building industry portfolios, and ideal job opportunities.

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Kumar Vishal @vishal733

4 years ago

Simple animations can go a long way in making concepts easier to understand. This is my first attempt at it, and the video attempts to visualize the effect of ReLU while solving a classification problem. lnkd.in/gJhcGp7 #DeepLearning #AI