Deep Learning with Tensorflow in Python

RSE Sheffield is a team of software engineers, data scientists and infrastructure engineers who write software for and with researchers at the University of Sheffield and elsewhere.  We're passionate about creating robust, sustainable software and reproducible research workflows.We can help with:- Software/workflow development and/or consultancy- Profiling/optimisation (inc via GPUs and HPC)- Data modelling and management- Machine/Deep learning and data analysis- Training- Code Clinic: ask us anything about software, data or infrastructure (free)

RSE Sheffield

Introduction to Deep Learning with Tensorflow in Python

Recent advances in deep neural networks coupled with an increasing amount and complexity of scientific data collected in a wide array of domains provide many <a href="https://arxiv.org/abs/2003.11755" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">exciting opportunities for deep learning applications in scientific settings</a> . Furthermore, libraries such as Google’s Tensorflow python library have made building deep learning models more accessible through common tools, freely available to researchers.In this course, we’ll introduce some basic neural network and deep learning theory and give participants practical experience in some popular deep learning models and techniques.Content includes:<ul><li>Introduction to Regression and Classification using neural networks</li><li>Image classification with Convolutional neural networks</li><li>Speeding up the training process of your own models using existing neural network</li></ul>Course DeliveryThere will be a significant practical element to the course and we will be working online in <a href="https://colab.research.google.com/" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Google Colab</a> notebooks. Course RequirementsFamiliarity with python programming basics.

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Deep Learning with Tensorflow in Python

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Deep Learning with Tensorflow in Python

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