Introduction to Deep Learning
| Hours: 3 0 3 |
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Introduction to neural networks, convolutional and recurrent networks, deep unsupervised and reinforcement learning, GPU computing, CuDNN, applications, and case studies of Deep Learning in speech recognition, images, vision, etc.
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Pre-requisites: CS351
| Co-requisites: CE, CS
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Hours: XYZ where X = Lecture, Y = Lab, Z = Credit
All hours are per week.
3 Lab hours constitute 1 credit hour
1 credit hour implies 1 lecture of 50mins per academic week. 16 weeks in total.
Pre-Requisite courses are courses required to be completed before this course may be taken
Co-Requisite courses are courses required to be taken along with this course
