ICLR2019 Best Paper
"The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"
Jonathan Frankle, Michael Carbin: https://arxiv.org/abs/1803.03635
"The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"
Jonathan Frankle, Michael Carbin: https://arxiv.org/abs/1803.03635
arXiv.org
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Neural network pruning techniques can reduce the parameter counts of trained networks by over 90%, decreasing storage requirements and improving computational performance of inference without...
Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
Github : https://github.com/tensorflow/graphics
Article: https://medium.com/tensorflow/introducing-tensorflow-graphics-computer-graphics-meets-deep-learning-c8e3877b7668
Github : https://github.com/tensorflow/graphics
Article: https://medium.com/tensorflow/introducing-tensorflow-graphics-computer-graphics-meets-deep-learning-c8e3877b7668
GitHub
GitHub - tensorflow/graphics: TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow - tensorflow/graphics
PyTorch implementation of the Leap Meta-Learner
Article: https://arxiv.org/abs/1812.01054
GitHub: https://github.com/amzn/metalearn-leap
Article: https://arxiv.org/abs/1812.01054
GitHub: https://github.com/amzn/metalearn-leap
arXiv.org
Transferring Knowledge across Learning Processes
In complex transfer learning scenarios new tasks might not be tightly linked
to previous tasks. Approaches that transfer information contained only in the
final parameters of a source model will...
to previous tasks. Approaches that transfer information contained only in the
final parameters of a source model will...
How to Develop a Convolutional Neural Network From Scratch for CIFAR-10 Photo Classification
https://machinelearningmastery.com/how-to-develop-a-cnn-from-scratch-for-cifar-10-photo-classification/
https://machinelearningmastery.com/how-to-develop-a-cnn-from-scratch-for-cifar-10-photo-classification/
Unified Language Model Pre-training for Natural Language Understanding and Generation
Articel.: https://arxiv.org/abs/1905.03197v1
Articel.: https://arxiv.org/abs/1905.03197v1
arXiv.org
Unified Language Model Pre-training for Natural Language...
This paper presents a new Unified pre-trained Language Model (UniLM) that can
be fine-tuned for both natural language understanding and generation tasks. The
model is pre-trained using three types...
be fine-tuned for both natural language understanding and generation tasks. The
model is pre-trained using three types...
TensorFlow Model Optimization Toolkit — Pruning API
https://medium.com/tensorflow/tensorflow-model-optimization-toolkit-pruning-api-42cac9157a6a
https://medium.com/tensorflow/tensorflow-model-optimization-toolkit-pruning-api-42cac9157a6a
Medium
TensorFlow Model Optimization Toolkit — Pruning API
Since we introduced the Model Optimization Toolkit — a suite of techniques that developers, both novice and advanced, can use to optimize…
A 2019 guide to 3D Human Pose Estimation
https://blog.nanonets.com/human-pose-estimation-3d-guide/
https://blog.nanonets.com/human-pose-estimation-3d-guide/
Nanonets
Intelligent document processing with AI | Nanonets
AI-based intelligent document processing with Nanonets' self-learning OCR. Automate data capture from invoices, receipts, passports, ID cards & more!
Introducing Translatotron: An End-to-End Speech-to-Speech Translation Model
http://ai.googleblog.com/2019/05/introducing-translatotron-end-to-end.html
http://ai.googleblog.com/2019/05/introducing-translatotron-end-to-end.html
research.google
Introducing Translatotron: An End-to-End Speech-to-Speech Translation Model
Posted by Ye Jia and Ron Weiss, Software Engineers, Google AI Speech-to-speech translation systems have been developed over the past several decade...
How to Use Transfer Learning when Developing Convolutional Neural Network Models
https://machinelearningmastery.com/how-to-use-transfer-learning-when-developing-convolutional-neural-network-models/
https://machinelearningmastery.com/how-to-use-transfer-learning-when-developing-convolutional-neural-network-models/
MachineLearningMastery.com
Transfer Learning in Keras with Computer Vision Models - MachineLearningMastery.com
Deep convolutional neural network models may take days or even weeks to train on very large datasets. A way to short-cut this process is to re-use the model weights from pre-trained models that were developed for standard computer vision benchmark datasets…
How to Develop a Convolutional Neural Network to Classify Photos of Dogs and Cats (with 97% accuracy)
https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-photos-of-dogs-and-cats/
https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-photos-of-dogs-and-cats/
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On Strong Baselines, Comparative Analyses, and Some Misconceptions
Article: https://arxiv.org/abs/1902.00508
Article: https://arxiv.org/abs/1902.00508
arXiv.org
How to (Properly) Evaluate Cross-Lingual Word Embeddings: On...
Cross-lingual word embeddings (CLEs) enable multilingual modeling of meaning
and facilitate cross-lingual transfer of NLP models. Despite their ubiquitous
usage in downstream tasks, recent...
and facilitate cross-lingual transfer of NLP models. Despite their ubiquitous
usage in downstream tasks, recent...
OpenAI Five Beats World Champion DOTA2 Team 2-0
https://www.youtube.com/watch?v=tfb6aEUMC04
https://www.youtube.com/watch?v=tfb6aEUMC04
YouTube
OpenAI Five Beats World Champion DOTA2 Team 2-0! 🤖
Check out Lambda Labs here: https://lambdalabs.com/papers
OpenAI's blog post: https://openai.com/blog/openai-five-finals/
Reddit AMA: https://old.reddit.com/r/DotA2/comments/bf49yk/hello_were_the_dev_team_behind_openai_five_we/
Reddit discussion on buybacks:…
OpenAI's blog post: https://openai.com/blog/openai-five-finals/
Reddit AMA: https://old.reddit.com/r/DotA2/comments/bf49yk/hello_were_the_dev_team_behind_openai_five_we/
Reddit discussion on buybacks:…
Forwarded from Artificial Intelligence
Generating Game of Thrones Characters Using StyleGAN
article: https://blog.nanonets.com/stylegan-got/
gitHub repo: https://github.com/iyaja/stylegan-encoder
article: https://blog.nanonets.com/stylegan-got/
gitHub repo: https://github.com/iyaja/stylegan-encoder
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Welcome to the world of:
* #Artificial #Intelligence,
* #Deep #Learning,
* #Machine #Learning,
* #Data #Science
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* and more advanced research
You will find up-to-date books📚 links🔗 and more you wanted.
Join us and learn hot topics of Computer Science together.👇👇👇
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Introducing FastBert — A simple Deep Learning library for BERT Models
https://medium.com/huggingface/introducing-fastbert-a-simple-deep-learning-library-for-bert-models-89ff763ad384
https://medium.com/huggingface/introducing-fastbert-a-simple-deep-learning-library-for-bert-models-89ff763ad384
Medium
Introducing FastBert — A simple Deep Learning library for BERT Models
A simple to use Deep Learning library to build and deploy BERT models
How to Develop a Deep CNN to Classify Satellite Photos of the Amazon Rainforest
https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-satellite-photos-of-the-amazon-rainforest/
https://machinelearningmastery.com/how-to-develop-a-convolutional-neural-network-to-classify-satellite-photos-of-the-amazon-rainforest/