BERT Explained: State of the art language model for NLP
An approachable and understandable explanation of BERT, a recent paper by Google that achieved SOTA results in wide variety of NLP tasks.
作者：Rani Horev 来源：medium
发布时间：2018-11-17 16:43:30
BERT Explained: State of the art language model for NLP
An approachable and understandable explanation of BERT, a recent paper by Google that achieved SOTA results in wide variety of NLP tasks.
作者：Rani Horev 来源：medium
发布时间：2018-11-17 16:43:30
A Comprehensive Hands-on Guide to Transfer Learning with Real-World Applications in Deep Learning
Deep Learning on Steroids with the Power of Knowledge Transfer!
作者：Dipanjan (DJ) Sarkar 来源：medium
发布时间：2018-11-17 08:15:09
Scaling Streams with Google
We’re excited to announce that the team behind Streams—our mobile app that supports doctors and nurses to deliver faster, better care to patients—will be joining Google.
作者：DeepMind 来源：DeepMind
发布时间：2018-11-14 00:19:00
Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks
Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You…
作者：Adam Geitgey 来源：medium
发布时间：2018-11-08 06:25:41
Machine Learning is Fun! Part 4: Modern Face Recognition with Deep Learning
Update: This article is part of a series. Check out the full series: Part 1, Part 2, Part 3, Part 4, Part 5, Part 6, Part 7 and Part 8! You…
作者：Adam Geitgey 来源：medium
发布时间：2018-11-08 06:25:27
Machine Learning is Fun!
The world’s easiest introduction to Machine Learning
作者：Adam Geitgey 来源：medium
发布时间：2018-11-08 06:23:12
Recurrent Neural Networks by Example in Python
Using a Recurrent Neural Network to Write Patents
作者：Will Koehrsen 来源：medium
发布时间：2018-11-05 20:50:01
Predicting eye disease with Moorfields Eye Hospital
In August, we announced the first stage of our joint research partnership with Moorfields Eye Hospital, which showed how AI could match world-leading doctors at recommending the correct course of treatment for over 50 eye diseases, and also explain how it arrives at its recommendations. Now we’re excited to start working on the next research challenge – whether we can help clinicians predict eye diseases before symptoms set in.
作者：DeepMind 来源：DeepMind
发布时间：2018-11-05 18:00:00
Feature Selection Techniques in Machine Learning with Python
With the new day comes new strength and new thoughts — Elanor Roosevelt
作者：Raheel Shaikh 来源：medium
发布时间：2018-10-28 20:23:39
Lessons Learned from Applying Deep Learning for NLP Without Big Data
In this post I will show some methods I found on articles,blogs,forums,Kaggle and more in order to make deep learning work without big data
作者：yonatan hadar 来源：medium
发布时间：2018-10-25 16:46:20
Lessons Learned from Applying Deep Learning for NLP Without Big Data
In this post I will show some methods I found on articles,blogs,forums,Kaggle and more in order to make deep learning work without big data
作者：yonatan hadar 来源：medium
发布时间：2018-10-25 16:46:20
face-api.js — JavaScript API for Face Recognition in the Browser with tensorflow.js
A JavaScript API for Face Detection, Face Recognition and Face Landmark Detection
作者：Vincent Mühler 来源：medium
发布时间：2018-10-23 22:16:18
Let’s code a Neural Network in plain NumPy
Mysteries of Neural Networks Part III
作者：Piotr Skalski 来源：medium
发布时间：2018-10-19 15:31:41
Open sourcing TRFL: a library of reinforcement learning building blocks
TensorFlow Reinforcement Learning represents an open source collection of key algorithmic components that we have used internally for a large number of our most successful agents such as DQN, DDPG and the Importance Weighted Actor Learner Architecture.
作者：DeepMind 来源：DeepMind
发布时间：2018-10-18 00:00:00
