The Best Machine Learning Research of 2019 So Far

The uses of machine learning are expanding rapidly. Already in 2019, significant research has been done in exploring new vistas for the use…

作者:ODSC - Open Data Science 来源:medium

发布时间:2019-06-27 01:01:01

Death of a startup

Yesterday, one of my portfolio companies died.

作者:Gokul Rajaram 来源:medium

发布时间:2019-06-27 00:55:07

The Golden Age of Computer Vision

It is an exciting yet overwhelming time to be a computer vision researcher. Last Tuesday, I had the privilege to give the opening remarks…

作者:Derek Hoiem 来源:medium

发布时间:2019-06-26 23:33:49

The Golden Age of Computer Vision

It is an exciting yet overwhelming time to be a computer vision researcher. Last Tuesday, I had the privilege to give the opening remarks…

作者:Derek Hoiem 来源:medium

发布时间:2019-06-26 23:33:49

The Complete Guide to Classification in Python

Dive deep into the inner workings of logistic regression, LDA, and QDA, and implement each algorithm in project setting.

作者:Marco Peixeiro 来源:medium

发布时间:2019-06-26 22:18:37

Transformer-XL : Unlocking Long-term Dependencies for Effective Language Modelling

Learn how state of the art language models can be created by the mightier Transformer-XL.

作者:Dhairya Patel 来源:medium

发布时间:2019-06-26 22:03:52

Generalization Bounds: rely on your Deep Learning models

How will your Deep Learning system perform on new data (generalize)? How bad can its performance get? Estimating the ability of an…

作者:Mattia Ferrini 来源:medium

发布时间:2019-06-26 21:35:19

AI generating football video game commentary

My approach to generating dynamic commentary in real time for Google’s football environment using GPT-2 language model.

作者:Chintan Trivedi 来源:medium

发布时间:2019-06-26 21:35:14

An Intro to Deep Learning for Face Recognition

An ultimate explanation for newbies with relevant links.

作者:Oleksii Kharkovyna 来源:medium

发布时间:2019-06-26 21:35:13

Introducing TensorWatch: Microsoft Research New Tool for Debugging Deep Learning Programs

Debugging is one of the most difficult aspects in the lifecycle of deep learning problems. The recent advancements in deep learning…

作者:Jesus Rodriguez 来源:medium

发布时间:2019-06-26 21:35:05

Introducing TensorWatch: Microsoft Research New Tool for Debugging Deep Learning Programs

Debugging is one of the most difficult aspects in the lifecycle of deep learning problems. The recent advancements in deep learning…

作者:Jesus Rodriguez 来源:medium

发布时间:2019-06-26 21:35:05

Generative Adversarial Networks for Text Generation — Part 3: non-RL methods

Combating the non-differentiability issue in text GANs without using Reinforcement Learning.

作者:Karthik Chintapalli 来源:medium

发布时间:2019-06-26 21:29:21

Generative Adversarial Networks for Text Generation — Part 3: non-RL methods

Combating the non-differentiability issue in text GANs without using Reinforcement Learning.

作者:Karthik Chintapalli 来源:medium

发布时间:2019-06-26 21:29:21

Can AI Discriminating against Patients: How Human-Centered Design can make Healthcare AI safer

According to the new paper, racial biases could inadvertently be built into healthcare algorithms if proper care is not taken while…

作者:Somil Gupta 来源:medium

发布时间:2019-06-26 21:29:14

What Is XLNet and Why It Outperforms BERT

Basic knowledge of XLNet to understand the difference between XLNet and BERT intuitively

作者:BrambleXu 来源:medium

发布时间:2019-06-26 21:21:57

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