This tutorial will explore how importance scores from three different importance score methods compare on simulated data. We simulated sequences to train a ...

A notebook replicating the results in the paper on MNIST is at examples/mnist/MNIST_replicate_figures.ipynb , and a notebook demonstrating use on a genomics ...

README.md · Issues 40 · Pull requests 3 · Gitignore

Meant for models with one-hot encoded sequence input. Inputs: multipliers_function: a function (usually produced by. model ...

This tutorial is the second example of deep learning implementation, in which we exemplify a classification task. More specifically, we considered ten classes ...

Implements the methods in "Learning Important Features Through Propagating Activation Differences" by Shrikumar, Greenside & Kundaje, as well as other ...

This tutorial is part of the didactic text: Learning Deep Learning (CDT-15). - deeplearningtutorial/deepLearning_GAN.ipynb at master ...

Nov 11, 2020 · Two features: (1) has a fix for loading models that don't have biases, and (2) a message about the target layer that would previously be thrown ...

In this guide we will learn how to peform image classification and object detection/recognition using deep computer vision with something called a convolutional ...