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Download Deep Learning-KTU by ['NAJIYA NAZRIN P N'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning-KTU
This document describes a course on deep learning. It is a 3 credit elective course with 3 hours of lecture and 1 hour of tutorial per week. The prerequisite is basic concepts in linear algebra, probability, and optimization. The course aims to explain basic deep learning concepts, design neural networks using TensorFlow, solve real-world problems using CNNs and RNNs, and describe GANs. Assessment includes continuous assessments, tests, and an end semester examination evaluating different cognitive levels such as understanding, application and analysis. The syllabus covers topics like neural networks, training deep models, CNNs, RNNs, autoencoders and GANs. References include books and online resources for further reading.
Detailed Information
| Author: | ['NAJIYA NAZRIN P N'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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