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Introduction to Deep Learning in R (Workshop 1 of 2) [D-Lab]

March 18 @ 1:00 pm - 4:00 pm

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.

Details

Date:
March 18
Time:
1:00 pm - 4:00 pm
Event Category:
Website:
https://dlab.berkeley.edu/training/introduction-deep-learning-r-part-1

Organizer

D-Lab

Venue

356 Barrows Hall
Barrows Hall
Berkeley, CA 94720 United States
+ Google Map
Website:
http://www.berkeley.edu/map?barrows