A Paper in 5 mins — FactorVAE

Paper Explained — Discovering Symbolic Models from Deep Learning with Inductive Biases

[Paper Readthrough] Visualizing Deep Networks by Optimizing with Integrated Gradients

[Paper Readthrough] — Variational Bayesian Monte Carlo

Overview

Read Through and Summarization — On Evaluating Adversarial Robustness

Andrew Zisserman — Self Supervised Learning 2018 — Comments

Paper Summary (Serial): Benchmarking Classic and Learned Navigation in Complex 3D Environments

Keras in depth tutorial — CNN and MNIST

This is the Part 1 of a series of in depth tutorials about Keras Framework: it is not just…