CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Wang et al.: https://arxiv.org/abs/2004.15004
Interactive visualization in the browser: https://poloclub.github.io/cnn-explainer/
#ConvolutionalNeuralNetworks #DeepLearning #NeuralNetworks
Wang et al.: https://arxiv.org/abs/2004.15004
Interactive visualization in the browser: https://poloclub.github.io/cnn-explainer/
#ConvolutionalNeuralNetworks #DeepLearning #NeuralNetworks
Memristors -- from In-memory computing, Deep Learning Acceleration, Spiking Neural Networks, to the Future of Neuromorphic and Bio-inspired Computing
Mehonic et al.: https://arxiv.org/abs/2004.14942
#Memristor #Neuromorphic #DeepLearning
Mehonic et al.: https://arxiv.org/abs/2004.14942
#Memristor #Neuromorphic #DeepLearning
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
‘It’s just a matter of time before we see “The AI Economist adversary: Using RL to find optimal tax evasion policies”’ — Denny Britz
Zheng et al.: https://arxiv.org/abs/2004.13332
Blog: https://blog.einstein.ai/the-ai-economist/
Q&A: https://salesforce.com/company/news-press/stories/2020/4/salesforce-ai-economist/
#AIGovernance #AIPolicy #DeepLearning
‘It’s just a matter of time before we see “The AI Economist adversary: Using RL to find optimal tax evasion policies”’ — Denny Britz
Zheng et al.: https://arxiv.org/abs/2004.13332
Blog: https://blog.einstein.ai/the-ai-economist/
Q&A: https://salesforce.com/company/news-press/stories/2020/4/salesforce-ai-economist/
#AIGovernance #AIPolicy #DeepLearning
OpenAI releases Jukebox, a machine learning framework that generates music
Github: https://github.com/openai/jukebox/
Paper: https://cdn.openai.com/papers/jukebox.pdf
https://www.marktechpost.com/2020/05/02/openai-releases-jukebox-a-machine-learning-framework-that-generates-music/
Github: https://github.com/openai/jukebox/
Paper: https://cdn.openai.com/papers/jukebox.pdf
https://www.marktechpost.com/2020/05/02/openai-releases-jukebox-a-machine-learning-framework-that-generates-music/
GitHub
GitHub - openai/jukebox: Code for the paper "Jukebox: A Generative Model for Music"
Code for the paper "Jukebox: A Generative Model for Music" - openai/jukebox
TTNet: Real-time temporal and spatial video analysis of table tennis
Voeikov et al.: https://arxiv.org/abs/2004.09927
#ArtificialIntelligence #DeepLearning #MachineLearning
Voeikov et al.: https://arxiv.org/abs/2004.09927
#ArtificialIntelligence #DeepLearning #MachineLearning
Should data scientists learn JavaScript?
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javascript-e611d45804b8/amp/
https://www.google.com/amp/s/www.freecodecamp.org/news/should-data-scientists-learn-javascript-e611d45804b8/amp/
freeCodeCamp.org
Should data scientists learn JavaScript?
The pros and cons of using the web’s #1 language for data scienceIf you have been following the tech landscape in recent years, you have probably noticed at least two things. For one, you may have noticed that JavaScript is a very popular language these days.…
Deep learning with graph-structured representations
T.N. Kipf : https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d
#DeepLearning #Graph #NeuralNetworks
T.N. Kipf : https://dare.uva.nl/search?identifier=1b63b965-24c4-4bcd-aabb-b849056fa76d
#DeepLearning #Graph #NeuralNetworks
dare.uva.nl
Digital Academic Repository - University of Amsterdam
400+ textbooks free to download
CS books on Python, deep learning, data science & AI.
Springer: https://bit.ly/SpringerCS
#DeepLearning #Python #Programming #Coding
CS books on Python, deep learning, data science & AI.
Springer: https://bit.ly/SpringerCS
#DeepLearning #Python #Programming #Coding
Data Science resume samples:
https://resumegenius.com/resume-samples/data-scientist-resume-example
https://www.kickresume.com/en/help-center/data-scientist-resume-sample/
https://www.velvetjobs.com/resume/data-scientist-intern-resume-sample
https://resumegenius.com/resume-samples/data-scientist-resume-example
https://www.kickresume.com/en/help-center/data-scientist-resume-sample/
https://www.velvetjobs.com/resume/data-scientist-intern-resume-sample
Resume Genius
Data Scientist Resume Example & Writing Tips for 2025
Our data scientist resume examples for different niches and expert writing tips will help you create a strong resume that will land you your next job.
Every month, members of this group will look at a new dataset and work individually to analyze it and apply machine learning concepts. Then, we will all provide constructive feedback to each other.
https://forms.gle/URGuBQ1ALEHij1mq9
@ArtificialIntelligenceArticles
https://forms.gle/URGuBQ1ALEHij1mq9
@ArtificialIntelligenceArticles
Google Docs
Data Science Group
Every month, members of this group will look at a new dataset and work individually to analyze it and apply machine learning concepts. Then, we will all provide constructive feedback to each other.
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation
Mao et al.: https://arxiv.org/abs/2005.03361
#ArtificialIntelligence #DeepLearning #NLP
Mao et al.: https://arxiv.org/abs/2005.03361
#ArtificialIntelligence #DeepLearning #NLP
PyRetri: An Open-Source Deep Learning Based Unsupervised Image Retrieval Library Built on PyTorch
Paper: https://arxiv.org/abs/2005.02154
Github: https://github.com/PyRetri/PyRetri
Paper: https://arxiv.org/abs/2005.02154
Github: https://github.com/PyRetri/PyRetri
GitHub
GitHub - PyRetri/PyRetri: Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥
Open source deep learning based unsupervised image retrieval toolbox built on PyTorch🔥 - PyRetri/PyRetri
Object Detection: EfficientDet (SOTA), MobileNetv3 and YOLO using OpenCV and TensorFlow.
- Blog post: https://imadelhanafi.com/posts/object_detection_yolo_efficientdet_mobilenet/
- Github repo: https://github.com/imadelh/Object-Detection_MobileNetv3-EfficientDet-YOLO
- Live version: https://vision.imadelhanafi.com/predict/v1?model=MODEL_NAME&image_url=URL (example: https://vision.imadelhanafi.com/predict/v1?model=mobilenet&image_url=https://imadelhanafi.com/data/draft/random/img4.jpg)
- Blog post: https://imadelhanafi.com/posts/object_detection_yolo_efficientdet_mobilenet/
- Github repo: https://github.com/imadelh/Object-Detection_MobileNetv3-EfficientDet-YOLO
- Live version: https://vision.imadelhanafi.com/predict/v1?model=MODEL_NAME&image_url=URL (example: https://vision.imadelhanafi.com/predict/v1?model=mobilenet&image_url=https://imadelhanafi.com/data/draft/random/img4.jpg)
AI postdocs available! Stanford AI Lab is delighted to offer postdocs to some exciting young AI researchers in these difficult times. Positions for 2 years working with SAIL faculty. If you’ve procrastinated, this is the week to get your application in!
https://ai.stanford.edu/postdoctoral-applications/
@ArtificialIntelligenceArticles
https://ai.stanford.edu/postdoctoral-applications/
@ArtificialIntelligenceArticles
ai.stanford.edu
Postdoctoral Scholar Openings | Stanford Artificial Intelligence Laboratory
» Postdoctoral Scholar Openings |
From Ian Goodfellow and other Google researchers: A novel approach to generating high-resolution images, guided by small inputs, that results in perceptually convincing details (called Latent Adversarial Generator (LAG))
For project and code or API request: https://www.catalyzex.com/paper/arxiv:2003.02365
For project and code or API request: https://www.catalyzex.com/paper/arxiv:2003.02365
CatalyzeX
Creating High Resolution Images with a Latent Adversarial Generator: Paper and Code
Creating High Resolution Images with a Latent Adversarial Generator. Click To Get Model/Code. Generating realistic images is difficult, and many formulations for this task have been proposed recently. If we restrict the task to that of generating a particular…
Yann LeCun thinks tensor networks are similar to convolutional neural networks
https://www.preposterousuniverse.com/blog/2015/05/05/does-spacetime-emerge-from-quantum-information/
https://www.preposterousuniverse.com/blog/2015/05/05/does-spacetime-emerge-from-quantum-information/
A Metric Learning Reality Check
Musgrave et al.: https://arxiv.org/abs/2003.08505
"Our results show that when hyperparameters are properly tuned via cross-validation, most methods perform similarly to one another"
#ArtificialIntelligence #DeepLearning #MachineLearning
Musgrave et al.: https://arxiv.org/abs/2003.08505
"Our results show that when hyperparameters are properly tuned via cross-validation, most methods perform similarly to one another"
#ArtificialIntelligence #DeepLearning #MachineLearning