FCN-7579 DeepLearning for Developers - Introduction to DeepLearning with Keras and TensorFlow | Devoxx

Devoxx Belgium 2018
from Monday 12 November to Friday 16 November 2018.

   DeepLearning for Developers - Introduction to DeepLearning with Keras and TensorFlow

Hands-on Lab

Big Data & Machine Learning
Big Data & Machine Learning
Intermediate level
BOF 1 Monday from 09:30 til 12:30

TensorFlow is an awesome library. But for the average developer fiddling with linear algebra is far to complicated. In this talk we'll give you a fast track recipe to master DeepLearning challenges using the Keras framework on top of TensorFlow. We'll start with basic image classification, show how you can implement a chat- bot and end with a Cryptocurrency price predictor. At the end of this talk you'll know how Convolutional Neural Networks, Long-Short-Term Memory Networks and Autoencoders work and how you can apply them using Keras and TensorFlow.

Deeplearning4j   Machine Learning for Developers   TensorFlow  
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Romeo Kienzler
Romeo Kienzler
From IBM

Romeo Kienzler is Chief Data Scientist and DeepLearning/AI Engineer at IBM Watson IoT and as IBM Certified Senior Architect he helps clients worldwide to solve their data analysis challenges.

He holds an M. Sc. (ETH) in Computer Science with specialisation in Information Systems, Bioinformatics and Applied Statistics from the Swiss Federal Institute of Technology Zurich.

He works as an Associate Professor for artificial intelligence at a Swiss University and his current research focus is on cloud-scale machine learning and deep learning using open source technologies including TensorFlow, Keras, DeepLearning4J, Apache SystemML and the Apache Spark stack.

He also contributes to various open source projects.

Make sure to download the Android or iOS mobile schedule.