Catégorie : Deep Learning

https://towardsdatascience.com/the-newest-package-for-instantly-evaluating-ml-models-deepchecks-d478e1c20d04

https://arxiv.org/abs/1902.06853 [1902.06853] On the Impact of the Activation Function on Deep Neural Networks Training The weight initialization and the activation function of deep neural networks have a crucial impact on the performance of the training procedure. An inappropriate selection can lead to the loss of information of the input during forward propagation and the exponential…

https://towardsdatascience.com/the-birth-of-an-important-discovery-in-deep-clustering-c2791f2f2d82

https://towardsdatascience.com/the-birth-of-an-important-discovery-in-deep-clustering-c2791f2f2d82

https://deepmind.com/blog/article/AlphaStar-Grandmaster-level-in-StarCraft-II-using-multi-agent-reinforcement-learning

Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. On homogeneous data sets, deep neural networks have repeatedly shown excellent performance and have therefore been widely adopted. However, their application to modeling tabular data (inference or generation) remains highly challenging. This work provides…

https://sreyas-mohan.github.io/udvd/ Unsupervised Deep Video Denoising Real Microscopy Videos Denoised Using UDVD UDVD trained on real microscopy datasets.. Deep convolutional neural networks (CNNs) currently achieve state-of-the-art performance in denoising videos. sreyas-mohan.github.io

https://github.com/orico/www.mlcompendium.com/

https://deepmind.com/research/publications/open-ended-learning-leads-to-generally-capable-agents

https://theaisummer.com/recommendation-systems An introduction to Recommendation Systems: an overview of machine and deep learning architectures | AI Summer Learn about the SOTA recommender system models. From collaborative filtering and factorization machines to DCN and DLRM theaisummer.com

https://www.microsoft.com/en-us/research/blog/deepspeed-accelerating-large-scale-model-inference-and-training-via-system-optimizations-and-compression/

https://ai.googleblog.com/2021/05/do-wide-and-deep-networks-learn-same.html Google AI Blog: Do Wide and Deep Networks Learn the Same Things? Posted by Thao Nguyen, AI Resident, Google Research. A common practice to improve a neural network’s performance and tailor it to available computational resources is to adjust the architecture depth and width.Indeed, popular families of neural networks, including EfficientNet, ResNet and Transformers,…

https://medium.com/syncedreview/deepmind-microsoft-allen-ai-uw-researchers-convert-pretrained-transformers-into-rnns-lowering-806b94bf0521

https://medium.com/@bjarkefelbo/what-can-we-learn-from-emojis-6beb165a5ea0 https://github.com/bfelbo/DeepMoji bfelbo/DeepMoji State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc. – bfelbo/DeepMoji github.com