Nature

Assessing and improving reliability of neighbor embedding methods: a map-continuity perspective

Visualizing high-dimensional data is essential for understanding biomedical data and deep learning models. Neighbor embedding methods, such as t-SNE and UMAP, are widely used but can introduce ...
Analytics Insight

Fundamentals of TinyML (Online), Harvard University

Harvard School of Engineering and Applied Sciences offers Fundamentals of TinyML as an introductory online course through its ...
Nature

A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism

Lysine crotonylation (Kcr) is an important post-translational modification, which is present in both histone and non-histone proteins, and plays a key role in a variety of biological processes such as ...
Hackaday

Understanding Deep Learning: Free MIT Press EBook For Instructors And Students

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...