pmigdal + deep-learning   360

How to recognize fake AI-generated images – Kyle McDonald – Medium
In 2014 machine learning researcher Ian Goodfellow introduced the idea of generative adversarial networks or GANs. “Generative” because they output things like images rather than predictions about…
deep-learning  gan  turing-test 
2 days ago by pmigdal
eriklindernoren/PyTorch-GAN: PyTorch implementations of Generative Adversarial Networks.
PyTorch implementations of Generative Adversarial Networks. - eriklindernoren/PyTorch-GAN
pytorch  gan  deep-learning 
9 days ago by pmigdal
Generating custom photo-realistic faces using AI – Insight Data
Shaobo Guan explains how he built a novel GAN architecture at Insight that allows us to generate custom photo-realistic images of faces based on any attribute.
gan  face  deep-learning  latent-variable 
6 weeks ago by pmigdal
25 Open-Source Machine Learning Repos to Inspire Your Next Project
In the last couple of years, machine learning has opened up new horizons in a wide range of industries, with advanced use cases emerging: facial recognition Facebook’s facial recognition, Netflix’s…
machine-learning  deep-learning  list 
9 weeks ago by pmigdal
Which GPU(s) to Get for Deep Learning
You want a cheap high performance GPU for deep learning? In this blog post I will guide through the choices, so you can find the GPU which is best for you.
gpu  deep-learning  hardware  benchmark  performance 
9 weeks ago by pmigdal
Deep Learning Framework Power Scores 2018 – Towards Data Science
Deep learning continues to be the hottest thing in data science. Deep learning frameworks are changing rapidly. Just five years ago, none of the leaders other than Theano were even around. I wanted…
deep-learning  popularity  keras  pytorch  tensorflow  caffee 
10 weeks ago by pmigdal
Machine Learning for Visualization – Ian Johnson – Medium
When exploring a new dataset we have various tools in our analysis and visualization toolkit. These tools include things like averages and summary statistics, line charts and histograms, as well as…
dataset  google-draw  tsne  drawing  deep-learning 
10 weeks ago by pmigdal
What convolutional neural networks look at when they see nudity - DEV Community 👩‍💻👨‍💻
Automating the discovery of nude pictures has been a central problem in computer vision for over two decades now and, because of its rich history and straightforward goal, serves as a great example of how the field has evolved.
deep-learning  nudity 
11 weeks ago by pmigdal
Simple diagrams of convoluted neural networks – InBrowserAI – Medium
Neural networks are complicated, multidimensional, nonlinear array operations. How can we present a deep learning model architecture in a way that shows key features, while avoiding being too complex…
my  deep-learning  data-viz  data-art  diagram 
12 weeks ago by pmigdal
[D] Why is Deep Learning so bad for tabular data? : MachineLearning
By personal experience and general ML culture, I know that standard ML methods like SVM, RF and tree boostings outperform DL models for supervised...
machine-learning  deep-learning  tabular 
august 2018 by pmigdal
[D] Have we overfit to ImageNet? : MachineLearning
Just came across yet another architecture search paper: https://arxiv.org/abs/1712.00559 Everyone is treating .1% improvements as...
overfitting  imagenet  deep-learning 
august 2018 by pmigdal
Capture the Flag: the emergence of complex cooperative agents | DeepMind
Recent progress in artificial intelligence through reinforcement learning (RL)
has shown great success on increasingly complex single-agent environments and two-player turn-based games. However, the real world contains multiple agents, each learning and acting independently to cooperate and compete with other agents, and environments reflecting this degree of complexity remain an open challenge. In this work, we demonstrate
for the first time that an agent can achieve human-level in ...
deep-learning  reinforcement-learning  ctf 
july 2018 by pmigdal
Identifying dog breeds using Keras
Modern deep learning architectures are becoming increasingly effective in various fields of artificial intelligence. One of these fields is image classi...
keras  transfer-learning  deep-learning 
june 2018 by pmigdal
quark0/darts: Differentiable architecture search for convolutional and recurrent networks
GitHub is where people build software. More than 28 million people use GitHub to discover, fork, and contribute to over 85 million projects.
deep-learning  pytorch 
june 2018 by pmigdal
Multi-GPU Framework Comparisons – Ilia Karmanov – Medium
Having previously examined a wide breadth of deep-learning frameworks, it was difficult to go into a lot of depth for each one. In this post I take Tensorflow, PyTorch, MXNet, Keras, and Chainer and…
deep-learning  gpu  performance  keras  pytorch  tensorflow  mxnet 
june 2018 by pmigdal
Don’t learn TensorFlow! Start with Keras or PyTorch instead | deepsense.ai
Keras and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
pytorch  keras  ternsorflow  deep-learning 
june 2018 by pmigdal
Papers with Code : the latest in machine learning
Papers with Code highlights trending ML research and the code to implement it.
machine-learning  publications  github  deep-learning 
june 2018 by pmigdal
Neural scene representation and rendering | DeepMind
We introduce the Generative Query Network (GQN), a framework within which machines learn to perceive their surroundings by training only on data obtained by themselves as they move around scenes. Much like infants and animals, the GQN learns by trying to make sense of its observations of the world around it. In doing so, the GQN learns about plausible scenes and their geometrical properties, without any human labelling of the contents of scenes.
deep-learning  2d  3d  rendering 
june 2018 by pmigdal
Model Zoo - Pretrained deep learning models for transfer learning, educational purposes, and more
ModelZoo curates and provides a platform for deep learning researchers to easily find pre-trained models for a variety of platforms and uses. Find models that you need, for educational purposes, transfer learning, or other uses.
deep-learning  models  pretrained 
june 2018 by pmigdal
bonlime/keras-deeplab-v3-plus: Keras implementation of Deeplab v3+ with pretrained weights
GitHub is where people build software. More than 27 million people use GitHub to discover, fork, and contribute to over 80 million projects.
image-segmentation  deep-learning 
may 2018 by pmigdal
[D] How impactful could the choice of the Optimizer in NN be ? : MachineLearning
Hi, I was training a simple fully connected NN recently (on keras), and was stuck at a certain accuracy (45%) using...
adam  optimizer  deep-learning 
may 2018 by pmigdal
Visualizing A Neural Machine Translation Model (Mechanics of Seq2seq Models With Attention) – Jay Alammar – Visualizing machine learning one concept at a time
Sequence-to-sequence models are deep learning models that have achieved a lot of success in tasks like machine translation, text summarization, and image captioning. Google Translate started using such a model in production in late 2016. These models are explained in the two pioneering papers (Sutskever et al., 2014, Cho et al., 2014).

I found, however, that understanding the model well enough to implement it requires unraveling a series of concepts that build on top of each other. ...
rnn  data-visualization  deep-learning  nlp 
may 2018 by pmigdal
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 
april 2018 by pmigdal
LouieYang/stroke-controllable-fast-style-transfer: Code and data for paper: https://arxiv.org/abs/1802.07101
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 
april 2018 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 
march 2018 by pmigdal
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