#
learning-theory
Here are 17 public repositories matching this topic...
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
data-science
machine-learning
data-mining
statistics
reinforcement-learning
deep-learning
neural-network
hardware
paper
machine-learning-algorithms
statistical-learning
artificial-intelligence
game-theory
pattern-recognition
literature
silicon
learning-theory
-
Updated
Sep 27, 2020
python
open-source
research
internet-of-things
simulations
multi-arm-bandits
multi
multi-armed-bandit
learning-theory
mab
bandit-algorithms
cognitive-radio
-
Updated
Oct 10, 2020 - Jupyter Notebook
Repository for collection of research papers on privacy.
machine-learning
privacy
paper
awesome-list
cps
differential-privacy
learning-theory
jonathan-ullman
-
Updated
Sep 4, 2020
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
machine-learning
statistics
deep-neural-networks
deep-learning
machine-learning-algorithms
generative-model
gaussian-mixture-models
regularization
expectation-maximization-algorithm
variational-inference
svm-classifier
learningnotes
learning-theory
k-means-clustering
perceptron-learning-algorithm
discriminant-analysis
-
Updated
Jun 5, 2020 - HTML
Material for 'Mathematics of Deep Learning Workshop' (https://www.mfo.de/occasion/1947a)
-
Updated
Oct 7, 2020 - Jupyter Notebook
Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning
-
Updated
Aug 28, 2020 - Python
Formal Psychological Models of Categorization and Learning
learning
open-science
psychology
cognitive-science
categorization
learning-theory
formal-models
open-models
-
Updated
Oct 13, 2020 - R
A program that learns your polynomial using just two queries
-
Updated
Jun 9, 2020 - Python
PAC-Bayesian Binary Activated Deep Neural Networks
-
Updated
Mar 9, 2020 - Python
Making Learners (More) Monotone
-
Updated
Apr 23, 2020 - MATLAB
Python code for the post "Binary Search on Graphs"
-
Updated
Jun 9, 2020 - Python
Course Design Lab Repository
-
Updated
May 6, 2018
A rewrite of "The Lack of A Priori Distinctions Between Learning Algorithms" http://www.mitpressjournals.org/doi/abs/10.1162/neco.1996.8.7.1341
-
Updated
Sep 17, 2019 - TeX
CSCI 5622 | CU Boulder | Spring 2018 | Chris Ketelsen
-
Updated
Mar 21, 2018 - Jupyter Notebook
A collection of some of my presentations
-
Updated
May 16, 2020 - TeX
Course Repo for Machine-Learning
neural-network
feature-extraction
mnist-dataset
logistic-regression
adaboost
feature-engineering
tvtropes
back-propagation
knn-classification
learning-theory
forward-propagation
-
Updated
May 17, 2018 - Jupyter Notebook
Improve this page
Add a description, image, and links to the learning-theory topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the learning-theory topic, visit your repo's landing page and select "manage topics."
We would like to forward a particular 'key' column which is part of the features to appear alongside the predictions - this is to be able to identify to which set of features a particular prediction belongs to. Here is an example of predictions output using the tensorflow.contrib.estimator.multi_class_head: