1 / 7

Autoencoders In Deep Learning

<br>A type of deep learning algorithm called an autoencoder is made to take in information and change it into an alternate form. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/<br>

mathi3
Download Presentation

Autoencoders In Deep Learning

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Autoencoders In Deep Learning https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  2. Table Of Content 1. What Is a Autoencoders Algorithm? 2. Why Is the Autoencoders Algorithm Important? 3. How Does Autoencoders Algorithm Work? 4. Applications Of Autoencoders Algorithm https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  3. What Is a Autoencoders Algorithm? A type of deep learning algorithm called an autoencoder is made to take in information and change it into an alternate form. Elements are crucial in the design of images. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  4. Why Is the Autoencoders Algorithm Important? Autoencoders provide efficient tools for data analysis and reduction. They can be used to find similarities in your data hidden from view, and then they can use these patterns to create a reduced structure of the original data. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  5. How Does Autoencoders Algorithm Work? In contrast to conventional denoising techniques, Autoencoders extract the image from the noisy data supplied by the user by learning an image of it. After that, the representation is decompressed to provide a picture without noise. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  6. Applications Of Autoencoders Algorithm 1. 2. 3. 4. 5. 6. 7. Image Denoising. Feature Extraction. Image generation Image Compression. Dimensionality Reduction. Sequence to sequence prediction. Recommendation system. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  7. THANK YOU! For Information,Please Visit: https://1stepgrow.com/

More Related