-
Failure to reimplement: on the future-proofing of research papers
Thu 25 October 2018
Failing to reimplement a paper
-
A Unified Architecture for Natural Language Processing
Fri 24 August 2018
Review of Collobert & Weston (2008)
-
Generating DNA barcdes with Numpy
Thu 04 January 2018
A tour through the process of optimizing slow code
-
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Thu 08 December 2016
After a long hiatus, I’m going to write about another paper I read recently, that is changing the way I think about using deep networks for biological sequence problems.
Background
Anyone that’s working in applied machine learning these days is familiar with the idea of convolutional neural networks …
-
Basset: multi-task convolutional networks for predicting regions chromatin from sequence
Mon 15 February 2016
I've been reading a few papers recently that each involve training a deep network that takes input directly from sequence and predicts some aspect of chromatin. Deep Bind predicts protein-DNA binding, and DeepSEA predicts the effect of SNPs on chromatin state. The most recent paper, and the one I find …
Page 1 / 2 »