Blog
  • Ibrahim

Snippets


Regression with Pandas and Sklearn

Production piplines!

Multivariate Time Series Forecasting

with LSTMs in Keras

How do CNN work?

By Brohrer


Trending!

The Building Blocks of Interpretability

On Distill

Feature Visualization

How neural networks build up their understanding of images

On Distill

Research Debt

On Distill


Neural Networks


Neural Networks, Manifolds, and Topology


Recurrent Neural Networks (RNN)


Attention and Augmented Recurrent Neural Networks

On Distill


Convolutional Neural Networks (CNN)


Deconvolution and Checkerboard Artifacts

On Distill


Visualizing Neural Networks


Inceptionism

Going Deeper into Neural Networks

On the Google Research Blog

Four Experiments in Handwriting with a Neural Network

On Distill

Feature Visualization

How neural networks build up their understanding of images

On Distill

The Building Blocks of Interpretability

On Distill


Important Papers


Document embedding with paragraph vectors

On ArXiv [PDF]

TensorFlow: Large-scale machine learning on heterogeneous systems

On TensorFlow.org [PDF]

Concrete Problems in
AI Safety

On ArXiv [PDF]

Conditional Image Synthesis with Auxiliary Classifier GANs

On ArXiv [PDF]

Changing Model Behavior at Test-Time Using Reinforcement Learning

On ArXiv [PDF]

Is Generator Conditioning Causally Related to GAN Performance?

On ArXiv [PDF]