This training was prepared by Cisco IT Network Engineers for other network engineers. It requires no background in NSO, YANG, Python or anything else.
Unofficial implementation of the paper 'Deep Co-Training for Semi-Supervised Image Recognition'
This repository holds the implementation, for the thesis project: Improving Collaborative Filtering Techniques by the use of Co-Training in Recommender Systems. This project was done under a thesis research for Fernando Benjamín Pérez Maurera, under supervision of Professor Paolo Cremonesi and Engineer Maurizio Ferrari, at Politecnico di Milano.
Python hands-on training for network engineers. How to automate Junos with Python
A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.
Safari Live Training - Python by Example
Implementation of Co-training Regressors (COREG) semi-supervised regression algorithm from Zhou and Li, 2005.