Machinelearning

Accelerated CNN Training Through Gradient Approximation https://arxiv.org/abs/1908.05460

Освойте самую востребованную технологию искусственного интеллекта! У вас уже есть базовое понимание машинного обучения и знание языка Python? Повысьте компетенции и получите практические навыки по программированию глубоких нейронных сетей! В SkillFactory открыт новый набор на курс "Deep Learning и нейронные сети" https://clc.to/6onwXA разработанный при поддержке NVIDIA Corporation. Проекты, над которыми вы будете работать, включают: ● создание нейронной сети для распознавания рукописных цифр; ● обучение рекурентной сети задачам прогнозирования временных рядов; ● разработку нейросетевого чат-бота; ● создание модели для идентификации лиц и генерации лиц на основе архитектуры GAN; ● разработку агента для игры на основе DQN алгоритма. Вы познакомитесь с основными библиотеками для Deep Learning, такими как TensorFlow, Keras и другими. 🔥 Жаркая новость: супер-скидки Августа -30%, узнайте подробности: https://clc.to/6onwXA

Awesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). libraries: https://github.com/josephmisiti/awesome-machine-learning books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md

How technology impacts the way of producing and consuming food at AGRO & TECH conference by Sistema_VC Founders of startups from the UK, the Netherlands and Russia will talk about how AI provides people with better nutrition and globally helps fighting hunger. You will learn how agriculture and tech interact and network with startup founders, innovation managers, investors and the media in the industry. Place: Moscow, Kollektiv Space, Bol'shoy Znamenskiy 2s3, metro Kropotkinskaya Date: August 21st, 6 pm Register free: https://is.gd/JgvmUA

How vFlat used the TFLite GPU delegate for real time inference to scan books https://medium.com/tensorflow/how-vflat-used-the-tflite-gpu-delegate-for-real-time-inference-to-scan-books-df3bb86a4eb7

New advances in natural language processing to better connect people https://ai.facebook.com/blog/new-advances-in-natural-language-processing-to-better-connect-people

VisualBERT: A Simple and Performant Baseline for Vision and Language https://arxiv.org/abs/1908.03557

How to Implement Progressive Growing GAN Models in Keras https://machinelearningmastery.com/how-to-implement-progressive-growing-gan-models-in-keras/

Project Euphonia’s Personalized Speech Recognition for Non-Standard Speech http://ai.googleblog.com/2019/08/project-euphonias-personalized-speech.html

Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning https://eng.uber.com/research/collaborative-multi-agent-dialogue-model-training-via-reinforcement-learning/ article: https://arxiv.org/pdf/1907.05507.pdf

The Best of AI: New Articles Published This Month (July 2019) https://blog.sicara.com/07-2019-best-ai-new-articles-this-month-3e1fa3f6c321

A Finnish News Corpus for Named Entity Recognition https://arxiv.org/abs/1908.04212

​​New paper on training with pseudo-labels for semantic segmentation Semi-Supervised Segmentation of Salt Bodies in Seismic Images: SOTA (1st place) at TGS Salt Identification Challenge. Github: https://github.com/ybabakhin/kaggle_salt_bes_phalanx ArXiV: https://arxiv.org/abs/1904.04445 #GCPR2019 #Segmentation #CV

A Gentle Introduction to the Progressive Growing GAN https://machinelearningmastery.com/introduction-to-progressive-growing-generative-adversarial-networks/

LVIS: A Dataset for Large Vocabulary Instance Segmentation https://arxiv.org/abs/1908.03195

A new model for word embeddings that are resilient to misspellings https://ai.facebook.com/blog/-a-new-model-for-word-embeddings-that-are-resilient-to-misspellings-/ https://github.com/facebookresearch/moe?fbclid=IwAR3pCHx4-8oWTqgYqUnKHxcVWdDzPuOVTL0sTidyDBX9J7UPt2HcWxRG9AA

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data https://arxiv.org/abs/1908.03190

How to Develop a CycleGAN for Image-to-Image Translation with Keras https://machinelearningmastery.com/cyclegan-tutorial-with-keras/

Interpreting Latent Space of GANs for Semantic Face Editing https://shenyujun.github.io/InterFaceGAN/ code: https://github.com/ShenYujun/InterFaceGAN.git