Towards Data Scienceadded this to Machine LearningGANs An Easy Introduction to Generative Adversarial Networkstowardsdatascience.com - George Seif Generative Adversarial Networks (GANs) are classified within the group of generative models. That means that they’re able to produce, i.e generate …
Towards Data Scienceadded this to Artificial IntelligenceTransformers BERT for dummies — Step by Step Tutorialtowardsdatascience.com - Michel Kana, Ph.D Chatbots, virtual assistant, dialog agents will typically classify queries into specific intents in order to generate the most coherent response. …
mmantu sinhaadded this to IOT-AI-MLFlipboardIcon version of the Flipboard logoNvidia NVIDIA Neural Modules: NeMogithub.com - NVIDIA Neural Modules (NeMo) is a framework-agnostic toolkit for building AI applications powered by Neural Modules. Current support is for PyTorch …
FlipboardIcon version of the Flipboard logoMentoring Open Postdoctoral position, faculty mentor Sanjiv Sam Gambhir | Office of Postdoctoral Affairsstanford.edu - postdocs.stanford.edu The candidate must have a post-graduate degree (PhD or MD) in biomedical data science, informatics, computer science, engineering, statistics, …
mmantu sinhaadded this to IOT-AI-MLFlipboardIcon version of the Flipboard logoUnsupervised Learning The projectspeechbrain.github.io SpeechBrain is an open-source and all-in-one speech toolkit relying on PyTorch. The goal is to create a single, flexible, and user-friendly toolkit that …
David Laryadded this to Machine LearningFlipboardIcon version of the Flipboard logoDeep Learning Dimension Manipulation using Autoencoder in Pytorch on MNIST datasetmedium.com - Garima Nishad Now as per the Deep Learning Book, An autoencoder is a neural network that is trained to aim to copy its input to its output. Internally, it has a …
Towards Data Scienceadded this to Machine LearningConvolutional Neural Network Drawing Architecure: Building Deep Convolutional GAN’s In Pytorchtowardsdatascience.com - Emily Elia Feynman did not create GAN’s, unsupervised learning, or adversarial training, but with this quote he did demonstrate that intelligence and the …
Towards Data Scienceadded this to Artificial IntelligenceTransformers A Hands-On Guide To Text Classification With Transformer Models (XLNet, BERT, XLM, RoBERTa)towardsdatascience.com - Thilina Rajapakse I highly recommend cloning the Github repo for this article and running the code while you follow the guide. It should help you understand both the …
Chad Ellerbuschadded this to DevelopmentLearning Python Library Series: The Definitive Guide to PyTorchoreilly.com Stay ahead with the world's most comprehensive technology and business learning platform. With Safari, you learn the way you learn best. Get unlimited …
Towards Data Scienceadded this to Artificial IntelligenceTensorFlow Forward Mode Automatic Differentiation & Dual Numberstowardsdatascience.com - Robert Lange Automatic Differentiation (AD) is one of the driving forces behind the success story of Deep Learning. It allows us to efficiently calculate gradient …
Tom Falkadded this to NATURAL LANGUAGE PROCESSINGTensorFlow TensorFlow vs PyTorch vs Keras for NLPkdnuggets.com Before beginning a feature comparison between TensorFlow vs PyTorch vs Keras, let’s cover some soft, non-competitive differences between them. Below …
Towards Data Scienceadded this to Machine LearningKaggle Generating Titles for Kaggle Kernels with LSTMtowardsdatascience.com - Alexandra Deis When I first found out about sequence models, I was amazed by how easily we can apply them to a wide range of problems: text classification, text …
Towards Data Scienceadded this to Machine LearningAWS Lambda How To Deploy A Neural Network From Beiruttowardsdatascience.com - Nadim Kawwa Beirut is Lebanon’s gorgeous capital and comes with the typical problems of a bustling city. On top of that it suffers from frequent power cuts and …
AAbdu Android Androidadded this to Dr.Abdulrahman BaqaisConvolutional Neural Network Convolutional Neural Networks Explained: Using PyTorch to Understand CNNs | Built Inbuiltin.com - Vihar Kurama In the present era, machines have successfully achieved 99% accuracy in understanding and identifying features and objects in images. We see this …
Towards Data Scienceadded this to Computer visionUtilities How to build custom dataloader for your own datasettowardsdatascience.com - Garima Nishad Custom data loading startled me too when I first started my computer vision journey & now that I think about it, it seems a few missing details here …
Towards Data Scienceadded this to Machine LearningVocabulary LineFlow: Simple NLP Dataset Handler for PyTorch or Any Frameworktowardsdatascience.com - Yasufumi TANIGUCHI For an NLP task, you might need to tokenize text or build the vocabulary in the pre-processing. And you probably have experienced that the …
Towards Data Scienceadded this to PythonCodes Tune: fast hyperparameter tuning at any scaletowardsdatascience.com - Richard Liaw Scale your search from laptop to hundreds of machines without changing your code. Check out Tune. Machine learning models are very sensitive to their …
Anton Boymadded this to #SDC Smart Digital CafeMOOCs These Skills Are In High Demand For Freelancersedx.org - Alice Shepherd Published on: Aug 15, 2019 by Alice Randall 4 views No Comments The freelance marketplace Upwork just released its latest skills index which tracks the …
Towards Data Scienceadded this to Artificial IntelligenceEquations The Transformer: Attention Is All You Needtowardsdatascience.com - Rachel Lea Ballantyne Draelos The Transformer paper, “Attention is All You Need” is the #1 all-time paper on Arxiv Sanity Preserver as of this writing (Aug 14, 2019). This paper …
VentureBeatFacebook AI researchers launch SuperGLUE, a rigorous benchmark for language understandingVentureBeat - Khari JohnsonFacebook AI Research, together with Google’s DeepMind, University of Washington, and New York University, today introduced SuperGLUE, a series of benchmark tasks to measure the performance of modern, performance
Ashish Tibrewaladded this to AI/ML/DL/DSPlay buttonNvidia Nvidia breaks records in training and inference for real-time conversational AITechCrunch - Darrell EtheringtonNvidia’s GPU-powered platform for developing and running conversational AI that understands and responds to natural language requests has achieved some key milestones and broken some records that have
TTec Techadded this to Computer /TECH/ Privacy Deep Learning Programming PyTorch for Deep Learningoreilly.com Deep learning is changing everything. This machine-learning method has already surpassed traditional computer vision techniques, and the same is …
Towards Data Scienceadded this to Machine LearningKaggle Data Augmentation for Deep Learningtowardsdatascience.com - Alexandra Deis Having a large dataset is crucial for the performance of the deep learning model. However, we can improve the performance of the model by augmenting …
SSadded this to AI & DS n ...TensorFlow 🌓 From TensorFlow to PyTorchmedium.com - Thomas Wolf Friends and users of our open-source tools are often surprised how fast 🚀 we reimplement the latest SOTA pretrained TensorFlow models to make them …
Towards Data Scienceadded this to Machine LearningFlipboardIcon version of the Flipboard logoCodes Understanding Adam : how loss functions are minimized ?towardsdatascience.com - Pierre-Antoine Bannier While using the fast.ai library built on top of PyTorch, I realized that I have never had to interact with an optimizer so far. Since fast.ai already …
San Francisco, CA PyBay2019 - the largest gathering of Pythonistas in SF Bay Areati.to - Team Tito Learn more here. If you donate >$200, as a thank you, we'll issue you a 10% refund on your ticket by August 31st, within 10 days after PyBay! Buy 1–4 …
Towards Data Scienceadded this to Computer visionSource Code Understand Kaiming Initialization and Implementation Detail in PyTorchtowardsdatascience.com - Xu LIANG If you create weight implicitly by creating a linear layer, you should set modle='fan_in'. If you create weight explicitly by creating a random matrix, …
Towards Data Scienceadded this to Machine LearningAPIs How to deploy a machine learning model to production in 5 lines of codetowardsdatascience.com - Omer Spillinger Model serving is an essential component of a production machine learning infrastructure stack. It’s how you convert your trained model into an API …
BloombergChina Mobile Can you stop AI at the border?Bloomberg - Mark Bergen Hi, it's Mark Bergen, the reporter who covers Google. Peter Thiel can be persistent. President Trump's favorite technologist suggested last month …
Towards Data Scienceadded this to Machine Learning Pytorch Lightning vs PyTorch Ignite vstowardsdatascience.com - William Falcon PyTorch-lightning is a recently released library which is like the “Keras for ML researchers” (BTW, by Keras I mean no boilerplate, not …
