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R Introduction to Deep Learning (part 1 of 2)

April 22, 2021 @ 1:00 PM - 4:00 PM

Online via Zoom,

See organizers’ website for details

This workshop introduces the basic concepts of Deep Learning – the training and performance evaluation of large neural networks, especially for image classification, natural language processing, and time-series data. Like many other machine learning algorithms, we will use deep learning algorithms to map input data to their appropriately classified outcome labels. You will use the R interface to Keras to become familiar with basic concepts like input and output layers, batch sizes and output dimensions, dropout rates, weight parametrization and bias, backpropagation, and loss, activation, and optimization functions. You will also gain confidence exploring more complex approaches that utilize pretrained and fine-tuned models.

Date & Time

Date:
April 22, 2021
Time:
1:00 PM - 4:00 PM

Website

Website:
Event Details

Organizer

D-Lab

Event Category

Event Categories:
Professional Development Events

Location

Online via Zoom

Venue

Online via Zoom