Editor's Note
While we are celebrating our fascinating community growth every month, we are also so happy to announce ML Weekly team is growing with strong members. Join me and welcome Christopher Dossman, ML researcher that joined us from this issue.
Editor's Pick
Apple-Picking Robot Prepares to Compete for Farm Jobs
Orchard owners say they need automation because seasonal farm labor is getting harder to come by.
News & Articles
AI Everywhere
Nvidia CEO Jensen Huang talks artificial intelligence, neural interfaces and holodecks.
Compressing and Regularizing Deep Neural Networks
"deep compression significantly reduces the computation and storage required by neural networks. For example, for a convolutional neural network with fully connected layers, such as Alexnet and VGGnet, it can reduce the model size by 35x-49x. Even for fully convolutional neural networks such as GoogleNet and SqueezeNet, deep compression can still reduce the model size by 10x. Both scenarios results in no loss of prediction accuracy."
Call for Papers
Machine Learning for Music Discovery
International Conference on Machine Learning (ICML) 2017 Sydney, Australia - 10 or 11 August 2017 Abstracts deadline: June 9, 2017
Papers & Tutorials
Deep Learning Papers by task
Cut through the noise with this list of the state of the art in ML algorithms broken down by use case.
Visual Attribute Transfer through Deep Image Analogy
Are you ready for anime styled episodes of Seinfeld? New art style algorithm based on VGG19 blows competition out of water taking the titles of State of the Art in style transfer. Check out the applications here.
Exploring the Structure of High-Dimensional Data with HyperTools in Kaggle Kernels
"how can we harness the incredible pattern-recognition superpowers of our brains to visualize complex and high-dimensional datasets?"
Tips for Beginners
A Beginner's Guide to Neural Networks in Python and SciKit Learn
Very well explained tutorial on NN with Python and SciKit Learn for those who kicking off in this field.
