The Microsoft AI Idea Challenge – Breakthrough Ideas Wanted!

This post is authored by Tara Shankar Jana, Senior Technical Product Marketing Manager at Microsoft. All of us have creative ideas – ideas that can improve our lives and the...

15 Statistical Hypothesis Tests in Python (Cheat Sheet)

Quick-reference guide to the 15 statistical hypothesis tests that you need inapplied machine learning, with sample code in Python. Although there are hundreds of statistical hypothesis tests that you could use,...

[D] Distill Update 2018

submitted by /u/wei_jok Source link thanks you RSS link ( https://www.reddit.com/r/MachineLearning/comments/97cykv/d_distill_update_2018/)

[D] Question on the rational behind the score function (“log derivative”) in policy gradient...

I'm studying the policy gradient methods, and all the tutorials mention the method of taking derivative of the epoch total reward function w.r.t the policy parameter theta, which is by...

[R] TDLS: Principles of Riemannian Geometry in Neural Networks

submitted by /u/machinetrainer Source link thanks you RSS link ( https://www.reddit.com/r/MachineLearning/comments/977lmp/r_tdls_principles_of_riemannian_geometry_in/)

[D] End-to-end ML techniques for text classification

Convolution neural networks are often referred to as end-to-end, in the sense that they both generate the signals and perform the modelling. Is there a similar technique for...

[D] Books on machine learning good for doing from scratch examples AND / OR...

Hello, I'm looking for any books that feature a good array of algorithms with enough information to do the examples yourself. Preferably something with concise descriptions of the algorithm so...

[N] TVM v0.4 is released, AutoTVM, cutomized accelerator backends

major changes: AutoTVM for automated tensor program optimization VTA: customized open source accelerator design and compiler backend Release note submitted by ...

Robust optimization approach to defending against adversarial perturbations

submitted by /u/vector_machines Source link thanks you RSS link ( https://www.reddit.com/r/MachineLearning/comments/96ye9h/robust_optimization_approach_to_defending_against/)

Would it be possible to retrain discriminator to recover latent vector? : MachineLearning

So, an idea struck me, given that the discriminator in a GAN network is already very good at analyzing outputs from a generator, wouldn't it be possible to retrain it...

LATEST NEWS

MUST READ