Deep Learning with R
Deep Learning with R
Syllabus
Schedule
Readings
Assignments
Classes
Class details
Class sessions
Section 1: Fundamentals of Deep Learning I
Section 2: Fundamentals of Deep Learning II
Section 3: Data representations for neural network, Keras, Tensorflow
Section 4: Deep dive into Keras
Section 5: Convolutional Neural Network
Section 6: Deep Learning for Time Series
Section 7: Deep Learning for Text
Section 8: Generative Deep Learning
Section 9: Best practices and summary
Class-specific material will be posted following each class session
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