Aurélien Géron Deep Learning crash-course & bonus interview (part 1/3)
Discover a series of field retrospective, thoughts and perspectives with Aurélien Géron following his Tensorflow crashcourse at Criteo
作者：Renaud Bauvin 来源：medium
发布时间：2019-06-28 20:00:13
Neural Network Optimization
Covering optimizers, momentum, adaptive learning rates, batch normalization, and more.
作者：Matthew Stewart, PhD Researcher 来源：medium
发布时间：2019-06-28 04:58:17
State of the Art Object Detection — use these top 3 data augmentations and Google Brain’s optimal…
Google Brain just released a new paper today that answers a lot of deep learning practitioners questions about “what works best” for…
作者：Less Wright 来源：medium
发布时间：2019-06-28 04:03:49
How to Apply Self-Supervision to Tabular Data: Introducing dfencoder
Denoising autoencoders for the everyday data scientist.
作者：Michael Klear 来源：medium
发布时间：2019-06-28 02:17:04
Machine Learning with One Line of Code!
Introducing MindsDb Platform
作者：Ali Masri 来源：medium
发布时间：2019-06-27 18:01:01
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
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
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
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
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
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
ScyNet blockchain paper gets three awards at Intel ISEF
Zvezdin Besarabov won no less than three special awards at Intel ISEF with his white paper on “Distributed Machine Learning for blockchain…
作者：Scynet.ai 来源：medium
发布时间：2019-06-26 17:56:23
XLNet — SOTA pre-training method that outperforms BERT
XLNet: Generalized Autoregressive Pretraining for Language Understanding
作者：Ankur Bohra 来源：medium
发布时间：2019-06-26 13:01:04
