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...
Disentangling Disentanglement in Variational Autoencoders
Article.: http://proceedings.mlr.press/v97/mathieu19a.html
Article.: http://proceedings.mlr.press/v97/mathieu19a.html
PMLR
Disentangling Disentanglement in Variational Autoencoders
We develop a generalisation of disentanglement in variational autoencoders (VAEs)—decomposition of the latent representation—characterising it as the fulfilm...
CVPR 2019
Papers: http://openaccess.thecvf.com/CVPR2019.py
Workshops: http://openaccess.thecvf.com/CVPR2019_workshops/menu.py
Papers: http://openaccess.thecvf.com/CVPR2019.py
Workshops: http://openaccess.thecvf.com/CVPR2019_workshops/menu.py
Deep Neural Networks from scratch in Python
https://towardsdatascience.com/deep-neural-networks-from-scratch-in-python-451f07999373
https://towardsdatascience.com/deep-neural-networks-from-scratch-in-python-451f07999373
Medium
Deep Neural Networks from scratch in Python
In this guide we will build a deep neural network, with as many layers as you want! The network can be applied to supervised learning…
18 Impressive Applications of Generative Adversarial Networks (GANs)
A Generative Adversarial Network, or GAN, is a type of neural network architecture for generative modeling
A Generative Adversarial Network, or GAN, is a type of neural network architecture for generative modeling
MachineLearningMastery.com
18 Impressive Applications of Generative Adversarial Networks (GANs) - MachineLearningMastery.com
A Generative Adversarial Network, or GAN, is a type of neural network architecture for generative modeling. Generative modeling involves using a model to generate new examples that plausibly come from an existing distribution of samples, such as generating…
Applying AutoML to Transformer Architectures
http://ai.googleblog.com/2019/06/applying-automl-to-transformer.html
http://ai.googleblog.com/2019/06/applying-automl-to-transformer.html
Googleblog
Applying AutoML to Transformer Architectures
Language, trees, and geometry in neural networks
https://pair-code.github.io/interpretability/bert-tree/
https://pair-code.github.io/interpretability/bert-tree/
pair-code.github.io
Language, trees, and geometry in neural networks
Как мы создали систему оповещения о ядерной угрозе
https://habr.com/ru/post/452356/
https://habr.com/ru/post/452356/
Хабр
Как мы создали систему оповещения о ядерной угрозе, или как я обучил нейросеть на заголовках Хабра
Заголовок статьи может показаться странным и это неспроста — он прекрасен именно тем, что написал его не я, а LSTM-нейросеть (а точнее его часть перед "или"). (схема LSTM взята из Understanding LSTM...