AUTOENCODERS | DEEP LEARNING | LECTURE 04 BY DR. JAISHREE JAIN | AKGEC

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Dear All,
Please find the links to all five units for DEEP LEARNING below:
DEEP LEARNING Playlist

https://www.youtube.com/playlist?list=PL7VfLVol-8konvEzXle2sLFaOsRbGrn2_

In this lecture, Dr. Jaishree Jain explains Autoencoders in Deep Learning. Students will learn how autoencoders work as neural networks used for unsupervised learning, data compression, feature extraction, and reconstruction of input data.

This lecture is highly useful for B.Tech, CSE, IT, Data Science, Artificial Intelligence, and Machine Learning students preparing for university exams, GATE, placements, and technical interviews.

Topics Covered:
✔ Introduction to Autoencoders
✔ Architecture of Autoencoders
✔ Encoder and Decoder Concept
✔ Latent Space Representation
✔ Reconstruction of Input Data
✔ Types of Autoencoders
✔ Applications in Deep Learning
✔ Dimensionality Reduction using Autoencoders
✔ Difference between Autoencoders and PCA

Department of Computer Science & Engineering
Ajay Kumar Garg Engineering College (AKGEC)

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Видео AUTOENCODERS | DEEP LEARNING | LECTURE 04 BY DR. JAISHREE JAIN | AKGEC канала AKGEC Digital School