Deep Learning with Python (Webinar)

Bala Desinghu, PhD

Hands-on Training -  Deep Learning with Python and Jupyter

Registration: Required (Webinar link will be send after the registration in the confirmation email along with the order details) With sufficient data and compute power, Deep Learning (DL) methods, in particular the supervised learning methods, can achieve the prediction accuracies that were not seen before with any other statistical methods in applications related to Computer Vision (CV) and Natural Language Processing (NLP). In this workshop, we will go through the basics of artificial neural networks (ANN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN), and do hands-on training with these DL models to build predictive analytics for image and text data.Objective of the workshop<ul><li>Understand the basics of Artificial Neural Networks (ANN)</li><li>Prepare image and text data suitable for the neural networks</li><li>Learn how to apply various DL models such as ANN, CNN, and RNN</li><li>Improve the accuracy of the model with Hyperparameter Optimization</li></ul>What is needed? Laptop/Desktop with Internet connectionDuration: 3 hoursLevel: IntermediateProgramming Platform: On-line resource or Laptop. Instructions for on-line resources will be given in the workshop. Prerequisite: Basic laptop usage. Basic knowledge of Python is helpful for doing the hands-on session. Slides and materials: Will be provided in the workshop

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Deep Learning with Python (Webinar)

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Deep Learning with Python (Webinar)

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