pmigdal + deep-learning   273

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 
11 hours 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 days 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 
14 days 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...
16 days 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 
27 days 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 
27 days ago by pmigdal
reddit: the front page of the internet
deep-learning  porn  faceswap 
28 days ago 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 
4 weeks ago by pmigdal
My Favorite Deep Learning Papers of 2017
Here are five deep learning papers I felt rose above the rest in 2017.
8 weeks ago by pmigdal
Learning to Segment – Facebook Research
New detection technologies will move us toward a more precise understanding of images.
deep-learning  image-segmentation 
11 weeks ago 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 
12 weeks ago 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
Neptune - Machine Learning Lab
Neptune by @deepsense_ai - machine learning lab & experiment tracking - now gives $100 for GPU cloud computing
cloud-computing  machine-learning  deep-learning  version-control 
august 2017 by pmigdal
ImageNet: the data that spawned the current AI boom — Quartz
In 2006, Fei-Fei Li started ruminating on an idea. Li, a newly-minted computer science professor at University of Illinois Urbana-Champaign, saw her colleagues across academia and the AI industry hammering away at the same concept: a better algorithm would make better decisions, regardless of the data. But she realized a limitation to this approach—the best...
deep-learning  imagenet  dataset 
july 2017 by pmigdal
37 Reasons why your Neural Network is not working – Slav
The network had been training for the last 12 hours. It all looked good: the gradients were flowing and the loss was decreasing. But then came the predictions: all zeroes, all background, nothing…
deep-learning  debugging 
july 2017 by pmigdal
How to Visualize Your Recurrent Neural Network with Attention in Keras
Visualizing recurrent NNs for machine translation using "attention" in keras Blog post coming soon! @your_datalogue
rnn  keras  deep-learning 
july 2017 by pmigdal
Neural Coreference - they, she I – Hugging Face
State-of-the-art neural coreference resolution system
nlp  pronoun  deep-learning  spacy 
july 2017 by pmigdal
Semantic Segmentation using Fully Convolutional Networks over the years
Semantic Segmentation using Fully Convolutional Networks over the years

(U-Net, DenseNet, Mask R-CNN, ...)
deep-learning  u-net  image-segmentation 
july 2017 by pmigdal
Cardiologist-Level Arrhythmia Detection With Convolutional Neural Networks
Diagnosing arrhythmias from single-lead ECG signals better than a cardiologist.
ecg  deep-learning 
july 2017 by pmigdal
[D] Why do people draw neural networks upside down? : MachineLearning
Why do people draw neural networks upside down?
Even decision trees grow from their roots downwards!

flow  deep-learning  metaphor  tree  from twitter
june 2017 by pmigdal
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