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Suzana Ilić
11.2K posts
Suzana Ilić
@suzatweet
- This is really neat! You take a screenshot of an equation, it gives you the LaTeX code, you can directly modify in the taskbar, copy, paste, done. mathpix.com
GIF - Machine Learning Operations (MLOps): Overview, Definition, and Architecture arxiv.org/abs/2205.02302
- Wow. 1,962 pages of "Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning". drive.google.com/file/d/1sJvLQw…
- AI Curriculum ⚪MIT 6.S191: Introduction to Deep Learning ⚪CS231n: CNNs for Visual Recognition, Stanford | Spring 2019 ⚪CS224n: NLP with Deep Learning, Stanford | Winter 2019 ⚪CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019 github.com/Machine-Learni…
GIF - Life goal: Work hard, retire early, buy a small house in the south of France, drink wine, study math.
- May 14. I'm officially a PhD student in Computer Science from today, working on Deep Learning for Dialogue Systems. I'm not crying.
- AI curriculum 🤖 CS231n: CNNs for Visual Recognition, Stanford | Spring 2019 cs231n.stanford.edu CS224n: NLP with Deep Learning, Stanford | Winter 2019 web.stanford.edu/class/cs224n/i… CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019 youtube.com/playlist?list=…
- Interactive Tools for ML, DL and Math - CNN Explainer - Play with GANs in the Browser - ConvNet Playground - Distill: Exploring Neural Networks with Activation Atlases - A visual introduction to Machine Learning - Interactive Deep Learning Playground ... github.com/Machine-Learni…
GIF - Stanford just released all Stanford XCS224U: Natural Language Understanding course lectures by Prof. Christopher Potts! Videos youtube.com/playlist?list=… Code github.com/cgpotts/cs224u/
- Really cool machine learning blog covering topics in machine learning, deep learning and math! @mlfromscratch mlfromscratch.com
GIF - Super excited to share that I joined @huggingface 🤗 working on open source and open science efforts and most importantly, supporting the AI community building the future! 😊🚀
- We completed Part I Mathematical Foundations of the MML book! 🎉 On Sunday we'll do a remote recap session – let me know if you'd like to join! Linear Algebra Analytic Geometry Matrix Decompositions Vector Calculus Probability & Distribution Optimization
- Interactive tools are great. We have collected a bunch more incl. ⚫ CNN Explainer ⚫ GANs in the Browser ⚫ ConvNet Playground ⚫ Activation Atlases ⚫ Initializing neural networks ⚫ Embedding Projector ⚫ OpenAI Microscope ⚫ and moreIf you’ve never tried it, playground.tensorflow.org is the single best explanatory tool for neural networks. An essential demo for any deep learning course! I still notice improvements in my intuition just by tinkering with it. From @dsmilkov @ShanCarter.
