A list of all named GANs! Contribute to hindupuravinash/the-gan-zoo development by creating an account on GitHub.

A resource repository for 3D machine learning. Contribute to timzhang642/3D-Machine-Learning development by creating an account on GitHub.

As a follow up of word embedding post, we will discuss the models on learning contextualized word vectors, as well as the new trend in large unsupervised pre-trained language models which have achieved amazing SOTA results on a variety of language tasks.

A comprehensive review of Classical and Deep Learning methods for Semantic Segmentation

A compiled visualisation of the common convolutional neural networks

What is BERT?

[Nearly] Everything you need to know in 2019

My previous post on summarising 57 research papers turned out to be quite useful for people working in this field, so it is about time…

Layers Description with Hyperparameter and accuracy in ILSVRC Challenge results

In this tutorial, you will learn how to fine-tune ResNet using Keras, TensorFlow, and Deep Learning.

In this article we explain what GauGANs are, and how their architecture and objective functions work. This is part of a series on Nvidia GauGANs.

Introduction Prerequisites Language Models are Unsupervised Multitask Learners Abstract Model Architecture (GPT-2) Model Specifications (GPT) Imports Transformer Decoder inside GPT-2 CONV1D Layer Explained FEEDFORWARD Layer Explained ATTENTION Layer Explained…

The goal of this post is to review well-adopted ideas that have stood the test of time. I will present a small set of techniques that cover a lot of basic knowledge necessary to understand modern Deep Learning research. If you're new to the field, these are…