**pmigdal + deep-learning**
302

Two-Stream Convolutional Networks for Dynamic Texture Synthesis

deep-learning
neural-style

5 days ago by pmigdal

The web's community of communities now has one central hub.

5 days ago by pmigdal

GauravBh1010tt/DeepLearn: Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

deep-learning
nlp
keras

11 days ago by pmigdal

GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.

11 days ago by pmigdal

LouieYang/stroke-controllable-fast-style-transfer: Code and data for paper: https://arxiv.org/abs/1802.07101

neural-style
deep-learning

24 days ago by pmigdal

24 days ago by pmigdal

junxiaosong/AlphaZero_Gomoku: An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

reinforcement-learning
pytorch
alpha-go
deep-learning

7 weeks ago by pmigdal

GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 79 million projects.

7 weeks ago by pmigdal

The GAN Zoo – Deep Hunt

deep-learning
gan

8 weeks ago by pmigdal

Every week, new papers on Generative Adversarial Networks (GAN) are coming out and it’s hard to keep track of them all, not to mention the incredibly creative ways in which researchers are naming…

8 weeks ago by pmigdal

A guide to receptive field arithmetic for Convolutional Neural Networks

convolution
deep-learning

8 weeks ago by pmigdal

The receptive field is perhaps one of the most important concepts in Convolutional Neural Networks (CNNs) that deserves more attention from the literature. All of the state-of-the-art object…

8 weeks ago by pmigdal

Hyperparticle/one-pixel-attack-keras: Keras reimplementation of "One pixel attack for fooling deep neural networks" using differential evolution on cifar10

deep-learning
keras
hacking-dl

8 weeks ago by pmigdal

one-pixel-attack-keras - Keras reimplementation of "One pixel attack for fooling deep neural networks" using differential evolution on cifar10

8 weeks ago by pmigdal

How To Create A Machine Learning Framework From Scratch In 491 steps

deep-learning
programming
education2

8 weeks ago by pmigdal

Note: We already posted a a short post-mortem of this project on reddit about 4 months ago. This is a significantly expanded, more detailed and polished version with detailed insights, design choices…

8 weeks ago by pmigdal

How I Shipped a Neural Network on iOS with CoreML, PyTorch, and React Native - Stefano J. Attardi

pytorch
deep-learning
ios

10 weeks ago by pmigdal

UI Engineering and Design consultant, specializing in React and React performance. Previously at Facebook and Storehouse. Winner of the first Node.js Knockout with Swarmation.com.

10 weeks ago by pmigdal

Lessons from Optics, The Other Deep Learning – arg min blog

physics
deep-learning
science

10 weeks ago by pmigdal

How deep learning could to be more like optics

10 weeks ago by pmigdal

Machine learning mega-benchmark: GPU providers (part 2) | RaRe Technologies

gpu
aws
deep-learning

11 weeks ago by pmigdal

We had recently published a large-scale machine learning benchmark using word2vec, comparing several popular hardware providers and ML frameworks in pragmatic aspects such as their cost, ease of use, stability, scalability and performance.

11 weeks ago by pmigdal

"Grad Student Descent" - [D] How do people come up with all these crazy deep learning architectures? : MachineLearning

deep-learning

11 weeks ago by pmigdal

For the past few days, I've been reading TensorFlow source codes for some of the latest DL architectures (e.g. Tacotron, Wavenet) and the more I...

11 weeks ago by pmigdal

Faster R-CNN: Down the rabbit hole of modern object detection - Tryolabs Blog

deep-learning
object-detection
rcnn

12 weeks ago by pmigdal

Previously, we talked about object detection, what it is and how it has been recently tackled using deep learning. If you haven’t read our previous blog post, we suggest you take a look at it before continuing.

Last year, we decided to get into Faster R-CNN, reading the original paper, and all the referenced papers (and so on and on) until we got a clear understanding of how it works and how to implement it.

12 weeks ago by pmigdal

How to build your own AlphaZero AI using Python and Keras

reinforcement-learning
deep-learning

12 weeks ago by pmigdal

The codebase contains a replica of the AlphaZero methodology, built in Python and Keras. Gain a deeper understanding of how AlphaZero works and adapt the code to plug in new games.

12 weeks ago by pmigdal

Deepfakes

deep-learning
porn
faceswap

january 2018 by pmigdal

reddit: the front page of the internet

january 2018 by pmigdal

LSTM by Example using Tensorflow – Towards Data Science

deep-learning
lstm

january 2018 by pmigdal

In Deep Learning, Recurrent Neural Networks (RNN) are a family of neural networks that excels in learning from sequential data. A class of RNN that has found practical applications is Long Short-Term…

january 2018 by pmigdal

My Favorite Deep Learning Papers of 2017

deep-learning

december 2017 by pmigdal

Here are five deep learning papers I felt rose above the rest in 2017.

december 2017 by pmigdal

Learning to Segment – Facebook Research

deep-learning
image-segmentation

december 2017 by pmigdal

New detection technologies will move us toward a more precise understanding of images.

december 2017 by pmigdal

Improving the way we work with learning rate. – techburst

deep-learning
learning-rate

november 2017 by pmigdal

Most optimization algorithms(such as SGD, RMSprop, Adam) require setting the learning rate — the most important hyper-parameter for training deep neural networks. Naive method for choosing learning…

november 2017 by pmigdal

Understanding Hinton’s Capsule Networks. Part I: Intuition.

capsnet
deep-learning
cnn

november 2017 by pmigdal

Last week, Geoffrey Hinton and his team published two papers that introduced a completely new type of neural network based on so-called capsules. In addition to that, the team published an algorithm…

november 2017 by pmigdal

Using deep learning for Single Image Super Resolution

deep-learning
upscaling
upsampling

november 2017 by pmigdal

We apply three different deep learning models to reproduce stare-of-the-art results in single image super resolution.

november 2017 by pmigdal

matterport/Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

deep-learning
image-segmentation
rcnn
keras
tensorflow

november 2017 by pmigdal

Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

november 2017 by pmigdal

Experiments with a new kind of convolution – Towards Data Science – Medium

deep-learning
convolution

october 2017 by pmigdal

There are many things that I don’t like about convolution. The biggest of them all, most of the weights particularly in later layers are quite close to zero. This tells that most of these weights…

october 2017 by pmigdal

aymericdamien/TensorFlow-Examples: Concise TensorFlow Examples for Beginners with Latest APIs

tensorflow
tutorial
deep-learning

september 2017 by pmigdal

TensorFlow-Examples - Concise TensorFlow Examples for Beginners with Latest APIs

september 2017 by pmigdal

Coding the History of Deep Learning - FloydHub Blog

python
deep-learning

september 2017 by pmigdal

FloydHub - Deep Learning Platform - Cloud GPU

september 2017 by pmigdal

Human log loss for image classification | deepsense.ai Blog

september 2017 by pmigdal

Deep learning vs human perception: creating a log loss benchmark - my post based on @kaggle cervical cancer contest

deep-learning
log-loss
human-learning
september 2017 by pmigdal

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