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SUMMARY:Deep Learning with Python and Keras
DESCRIPTION:Register to attend this workshop at the bottom of this page. Zoom link will be emailed after filling out the registration form. \nDeep learning (DL) outperforms Machine Learning (ML) in many applications such as  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)\, Recurrent Neural Networks (RNN)\, and Transformers\, and focus on doing hands-on training to apply these DL models on image and text data for building predictive analytics.  \n\nObjective of the workshop\nUnderstand the basics of Artificial Neural Networks (ANN)\nPrepare image and text data suitable for the neural networks\nLearn how to apply various DL models such as ANN\, CNN\, RNN\, and Transformers\nImprove the accuracy of the model with hyperparameter optimization\n\nIf you have questions or need help\, please email Bala Desinghu. \nAmarel account: Apply here as soon as possible. You must have an Amarel account set up before the workshop. \nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources. \nSSH setup: Windows users must install an SSH client like PuTTY or MobaXterm. Alternatively\, Windows 10 users can install the complete Windows Subsystem for Linux. \nRegister to attend the workshop:\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/deep-learning-with-python-and-keras-11-3-23/
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