YoVDO

Realtime-Cognitive IoT Using DeepLearning and Online Learning

Offered By: Devoxx via YouTube

Tags

Devoxx Courses Deep Learning Courses Apache Spark Courses Anomaly Detection Courses Online Learning Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore deep learning frameworks for IoT sensor data analysis in this 52-minute conference talk from Devoxx. Dive into DeepLearning4J's capabilities for cluster computing, GPU utilization, and advanced neural network topologies. Learn how to implement an LSTM autoencoder neural network for anomaly detection in IoT sensor data using DeepLearning4J on Apache Spark. Gain insights from Romeo Kienzler, Chief Data Scientist at IBM Watson IoT, as he shares his expertise in scalable machine learning and artificial intelligence applications for IoT environments.

Syllabus

Realtime-Cognitive IoT using DeepLearning and Online Learning by Romeo Kienzler


Taught by

Devoxx

Related Courses

Model Building and Validation
AT&T via Udacity
Поиск структуры в данных
Moscow Institute of Physics and Technology via Coursera
Data Analytics Foundations for Accountancy II
University of Illinois at Urbana-Champaign via Coursera
Developing Machine Learning Applications
Amazon via Independent
Anomaly Detection in Time Series Data with Keras
Coursera Project Network via Coursera