pmigdal + deep-learning   302

GauravBh1010tt/DeepLearn: Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
deep-learning  nlp  keras 
11 days ago by pmigdal
LouieYang/stroke-controllable-fast-style-transfer: Code and data for paper:
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
neural-style  deep-learning 
24 days ago by pmigdal
junxiaosong/AlphaZero_Gomoku: An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 79 million projects.
reinforcement-learning  pytorch  alpha-go  deep-learning 
7 weeks ago by pmigdal
The GAN Zoo – Deep Hunt
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…
deep-learning  gan 
8 weeks ago by pmigdal
A guide to receptive field arithmetic for Convolutional Neural Networks
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…
convolution  deep-learning 
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
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
How To Create A Machine Learning Framework From Scratch In 491 steps
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…
deep-learning  programming  education2 
8 weeks ago by pmigdal
How I Shipped a Neural Network on iOS with CoreML, PyTorch, and React Native - Stefano J. Attardi
UI Engineering and Design consultant, specializing in React and React performance. Previously at Facebook and Storehouse. Winner of the first Node.js Knockout with
pytorch  deep-learning  ios 
10 weeks ago by pmigdal
Machine learning mega-benchmark: GPU providers (part 2) | RaRe Technologies
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.
gpu  aws  deep-learning 
11 weeks ago by pmigdal
"Grad Student Descent" - [D] How do people come up with all these crazy deep learning architectures? : MachineLearning
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
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.
deep-learning  object-detection  rcnn 
12 weeks ago by pmigdal
How to build your own AlphaZero AI using Python and Keras
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.
reinforcement-learning  deep-learning 
12 weeks ago by pmigdal
reddit: the front page of the internet
deep-learning  porn  faceswap 
january 2018 by pmigdal
LSTM by Example using Tensorflow – Towards Data Science
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…
deep-learning  lstm 
january 2018 by pmigdal
My Favorite Deep Learning Papers of 2017
Here are five deep learning papers I felt rose above the rest in 2017.
december 2017 by pmigdal
Learning to Segment – Facebook Research
New detection technologies will move us toward a more precise understanding of images.
deep-learning  image-segmentation 
december 2017 by pmigdal
Improving the way we work with learning rate. – techburst
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…
deep-learning  learning-rate 
november 2017 by pmigdal
Understanding Hinton’s Capsule Networks. Part I: Intuition.
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…
capsnet  deep-learning  cnn 
november 2017 by pmigdal
Using deep learning for Single Image Super Resolution
We apply three different deep learning models to reproduce stare-of-the-art results in single image super resolution.
deep-learning  upscaling  upsampling 
november 2017 by pmigdal
Experiments with a new kind of convolution – Towards Data Science – Medium
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…
deep-learning  convolution 
october 2017 by pmigdal
Human log loss for image classification | Blog
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
« earlier      
per page:    204080120160

related tags

3d  3d-conv  academia  acoustics  adam  adversarial  ai  alpha-go  ami  analogies  analogy  architecture  arrhythmia  art  atrial-fibrillation  autoencoder  aws  backpropagation  basic-income  batch-norm  bayesian  beauty  benchmark  binary  biology  book  bot  caffe  cancer  capsnet  captcha  career  cars  cats  cell  cervix  char2char  cheatsheet  chemistry  cloud-computing  cnn  cognition  cognitive  coloring  complex  compression  confusion-matrix  convnet  convolution  course  cpu  curiosity  data  data-art  data-augmentation  data-viz  dataset  data_visualization  debugging  deep-dream  deep-learning  deepdream  deepsense  demography  diagram  differentation  doom  drawing  dream  dropout  ecg  economy  ecs  education2  evolution  expression  eye  face  faceswap  facial-recognition  flow  fluid  font  forecasting  fourier  functional  gamedev  gan  github  go  gpu  gradient-descent  grammar  graph  group-theory  gru  gui  hacking-dl  health  heatmap  history  hn  human-learning  humour  illusion  image-classification  image-detection  image-generation  image-processing  image-recognition  image-segmentation  imagenet  install  interactive  interpolation  invariance  ios  ipython-notebook  javascript  journal  jupyter  jupyter-notebook  kaggle  keras  language  lasagne  latent  latent-variable  learning-rate  log-loss  lstm  lua  lung  machine-learning  machinelearning  mario  matrix  medicine  meme  meta-learning  metaphor  metropolis  microscopy  mri  mushroom  music  network-visualization  neural-network  neural-networks  neural-style  neuroscience  news  nlp  nsfw  nude  nudity  object-detection  openscience  optimization  optimizer  overfitting  painting  papers  performance  philosophy  photography  photos  physics  pokemon  porn  production  programming  progress  pronoun  prototypical  publications  python  pytorch  pytroch  q-learning  quantum  rcnn  reddit  reinforcement-learning  relu  repo  resources  retina  rmsprop  rnn  saliency  sarcasm  scala  science  sdg  segmentation  selfie  sentiment-analysis  seq2seq  society  sociology  sound  spacy  spectral  starcraft  starcraft2  symmetry  tensor  tensorboard  tensorflow  test  theano  torch  translation  tree  trends  turing  tutorial  typography  u-net  uber  unet  unsupervised  upsampling  upscaling  ux  version-control  vgg  video  vision  visualisation  visualization  webdesign  webdev  webgl  whale  whales  word2vec  word2wec  xgboost  yolo 

Copy this bookmark: