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DTSTART;TZID=UTC:20220527T090000
DTEND;TZID=UTC:20220527T130000
DTSTAMP:20260510T085534
CREATED:20220307T112159Z
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SUMMARY:Deep Learning using Keras and Tensorflow
DESCRIPTION:Motivation  \n\n\n\nPython is a general-purpose\, versatile and popular programming language\, that is becoming increasingly popular in science \, for machine learning application and for general scripting and data analysis purposes. It’s great as a first language because it is concise and easy to read. However\, finding motivation to learn Python or even to consolidate learned skills after joining a workshop\, can be hard. \n\n\n\n Course Details:  \n\n\n\nThis course will be an introduction to deep learning. We will talk about different concepts\, neural network (NN) architectures and their respective implementations in Python. Concepts and algorithms are of course library independent\, nevertheless we will mainly focus on using the Keras Framework (part of Tensorflow) to implement different models. After some theoretical discussion we will setup together the deep learning environment and try to solve different problems using different NN architectures.  \n\n\n\n Requirements  \n\n\n\nYou should already feel quite comfortable in programming in python and bring some prior knowledge in how to work with pandas/numpy if possible. I would recommend to participate in the  “Scikit-Learn: Using Machine Learning in Python” courses if you are not comfortable with machine learning at all yet. I would advise to use a computer with a NVIDIA GPU to speed up computaions\, but this is not mandatory.  \n\n\n\n Correspondence:  \n\n\n\n For questions write to:  \n\n\n\nStanislav Sys – stsys@uni-mainz.de or Stephan Weißbach – s.weissbach@uni-mainz.de (regarding Content)  \n\n\n\nNicolas Ruffini Nicolas.ruffini@lir-mainz.de (regarding Event) \n\n\n\n\n\n Registration:  \n\n\n\n Registration is available after login – if you do not have an ISyN-Account yet\, create one\, using the “Become a member”-Button in the top
URL:https://isyn-mainz.de/event/deep-learning-using-keras-and-tensorflow/
LOCATION:LIR Mainz\, Wallstraße 7\, Mainz\, 55122\, Germany
CATEGORIES:ISyN-Event,Learning Python Series
ORGANIZER;CN="Nicolas Ruffini":MAILTO:nicolas.ruffini@lir-mainz.de
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