Multi-Sample Dropout for Accelerated Training and Better Generalization
Link: https://arxiv.org/abs/1905.09788
Link: https://arxiv.org/abs/1905.09788
arXiv.org
Multi-Sample Dropout for Accelerated Training and Better Generalization
Dropout is a simple but efficient regularization technique for achieving better generalization of deep neural networks (DNNs); hence it is widely used in tasks based on DNNs. During training,...
A Gentle Introduction to Deep Learning for Face Recognition
https://machinelearningmastery.com/introduction-to-deep-learning-for-face-recognition/
https://machinelearningmastery.com/introduction-to-deep-learning-for-face-recognition/
MachineLearningMastery.com
A Gentle Introduction to Deep Learning for Face Recognition - MachineLearningMastery.com
Face recognition is the problem of identifying and verifying people in a photograph by their face. It is a task that is trivially performed by humans, even under varying light and when faces are changed by age or obstructed with accessories and facial hair.…
How to Perform Face Detection with Deep Learning in Keras
https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/
https://machinelearningmastery.com/how-to-perform-face-detection-with-classical-and-deep-learning-methods-in-python-with-keras/
Learning Perceptually-Aligned Representations via Adversarial Robustness
Article: https://arxiv.org/abs/1906.00945
Github: https://github.com/MadryLab/robust_representations
Article: https://arxiv.org/abs/1906.00945
Github: https://github.com/MadryLab/robust_representations
Forwarded from Artificial Intelligence
YouTube
DeepMind Made a Math Test For Neural Networks
📝 The paper "Analysing Mathematical Reasoning Abilities of Neural Models" is available here:
https://arxiv.org/abs/1904.01557
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🙏 We would like to thank our generous Patreon…
https://arxiv.org/abs/1904.01557
❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers
🙏 We would like to thank our generous Patreon…
Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations
http://ai.googleblog.com/2019/06/introducing-tensornetwork-open-source.html
http://ai.googleblog.com/2019/06/introducing-tensornetwork-open-source.html
research.google
Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculati
Posted by Chase Roberts, Research Engineer, Google AI and Stefan Leichenauer, Research Scientist, X Many of the world's toughest scientific chall...
Free COURSE. CS Deep Reinforcement Learning UC Berkeley
Video Lectures: https://www.youtube.com/playlist?list=PLkFD6_40KJIxJM..
Lecture Material: http://rail.eecs.berkeley.edu/deeprlcourse/
Video Lectures: https://www.youtube.com/playlist?list=PLkFD6_40KJIxJM..
Lecture Material: http://rail.eecs.berkeley.edu/deeprlcourse/
Youtube
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Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Welcome to TensorWatch
TensorWatch is a debugging and visualization tool designed for deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualizations of your machine learning training and perform several other key visualizations of your models and data.
https://github.com/microsoft/tensorwatch/
TensorWatch is a debugging and visualization tool designed for deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualizations of your machine learning training and perform several other key visualizations of your models and data.
https://github.com/microsoft/tensorwatch/
GitHub
GitHub - microsoft/tensorwatch: Debugging, monitoring and visualization for Python Machine Learning and Data Science
Debugging, monitoring and visualization for Python Machine Learning and Data Science - microsoft/tensorwatch
Отличаем символы от мусора: как построить устойчивые нейросетевые модели в задачах OCR
https://habr.com/ru/company/abbyy/blog/449524/
https://habr.com/ru/company/abbyy/blog/449524/
Хабр
Отличаем символы от мусора: как построить устойчивые нейросетевые модели в задачах OCR
В последнее время мы в группе распознавания компании ABBYY всё больше применяем нейронные сети в различных задачах. Очень хорошо они зарекомендовали себя в перву...
How to Develop a Face Recognition System Using FaceNet in Keras
https://machinelearningmastery.com/how-to-develop-a-face-recognition-system-using-facenet-in-keras-and-an-svm-classifier/
https://machinelearningmastery.com/how-to-develop-a-face-recognition-system-using-facenet-in-keras-and-an-svm-classifier/
Implementing a Simple Auto-Encoder in Tensorflow
https://medium.com/@barp.edoardo/implementing-a-simple-auto-encoder-in-tensorflow-1181751f202
https://medium.com/@barp.edoardo/implementing-a-simple-auto-encoder-in-tensorflow-1181751f202
Towards Data Science
Implementing a Simple Auto-Encoder in Tensorflow
How Generative Adversarial Networks started: the auto-encoder. In this post, I will explain how to implement an auto-encoder in few…
DL-workshop-series
Github: https://github.com/Machine-Learning-Tokyo/DL-workshop-series
Link to the presentation: https://drive.google.com/open?id=1sXztx3E9M3G0BIRLh6sxaqVOEOdJVJTrzHOixA5b-rM
Videos: https://www.youtube.com/playlist?list=PLaPdEEY26UXxvlzz485w61W4LgO0lUZfg
Github: https://github.com/Machine-Learning-Tokyo/DL-workshop-series
Link to the presentation: https://drive.google.com/open?id=1sXztx3E9M3G0BIRLh6sxaqVOEOdJVJTrzHOixA5b-rM
Videos: https://www.youtube.com/playlist?list=PLaPdEEY26UXxvlzz485w61W4LgO0lUZfg
GitHub
GitHub - Machine-Learning-Tokyo/DL-workshop-series: Material used for Deep Learning related workshops for Machine Learning Tokyo…
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT) - Machine-Learning-Tokyo/DL-workshop-series
One-Shot Learning with Siamese Networks, Contrastive Loss, and Triplet Loss for Face Recognition
https://machinelearningmastery.com/one-shot-learning-with-siamese-networks-contrastive-and-triplet-loss-for-face-recognition/
https://machinelearningmastery.com/one-shot-learning-with-siamese-networks-contrastive-and-triplet-loss-for-face-recognition/
Deep Learning Frameworks 2019 | Which Deep Learning Framework To Use | Deep Learning
https://www.youtube.com/watch?v=6ryPbOfz03U
https://www.youtube.com/watch?v=6ryPbOfz03U
YouTube
Deep Learning Frameworks 2019 | Which Deep Learning Framework To Use | Deep Learning | Simplilearn
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DenoscriptionFF&utm_source=youtube…
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
https://arxiv.org/abs/1906.04068
https://arxiv.org/abs/1906.04068
arXiv.org
Hierarchical Representation in Neural Language Models: Suppression...
Deep learning sequence models have led to a marked increase in performance
for a range of Natural Language Processing tasks, but it remains an open
question whether they are able to induce proper...
for a range of Natural Language Processing tasks, but it remains an open
question whether they are able to induce proper...