The Sequence Scope: Simpler, More Efficient Transformers

📝 Editorial: Simpler, More Efficient Transformers

--

--

--

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Number Plate Detection using ML

Neural Network Basics: Weighting Functions

[ML UTD 24] Machine Learning Up-To-Date — Life With Data

4 Months of Machine & Deep Learning

Confusion Matrix

Quantum Data Embeddings Circuit Design #2

Tutorial on using Keras flow_from_directory and generators

Creating a simple RNN from scratch with TensorFlow

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Jesus Rodriguez

Jesus Rodriguez

CEO of IntoTheBlock, Chief Scientist at Invector Labs, I write The Sequence Newsletter, Guest lecturer at Columbia University, Angel Investor, Author, Speaker.

More from Medium

Yoshua Bengio Team’s Large-Scale Analysis Reveals the Benefits of Modularity and Sparsity for DNNs

Inside Imagen. Google’s Impressive Text-to-Image Alternative to OpenAI’s DALLE-2.

The Relationship between Interpretability and Fairness

Quant Investment & Machine Learning Interview Questions (3)