Hello trend,
This is Satya Mallick from LearnOpenCV.com. In today's blog post we will learn about Autoencoders in Tensorflow 2.
Don't know about Autoencoders? Well, then the tutorial is just right for you because we wrote it for beginners.
Autoencoder is a neural network architecture which has two parts.
- The Encoder extracts useful information form the image and throws away extraneous information. In Convolutional Neural Networks, the encoder gradually decreases the spatial dimension (which makes sense because we are throwing away useless information).
- The Decoder "decodes" the information we have extracted by adding back spatial dimension.
For example, if you want to remove noise from an image of handwritten digits, you can train an autoencoder. The encoder part will learn what noise is in this context, and extract the information necessary to reconstruct noise-free digits. The decoder part then uses this information for reconstructing the noise-free handwritten digits.
Autoencoders are used in a ton of applications like semantic segmentation, noise reduction, and even recommender systems. Alright, let's dive into the actual post shared at the link below
https://learnopencv.com/autoencoder-in-tensorflow-2-beginners-guide/
and experiment with the code at the following link
https://github.com/spmallick/learnopencv/tree/master/Autoencoder-in-TensorFlow
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Creating Video AI Solutions Without Sacrificing Agility
As part of OpenCV Weekly Webinar, we are bringing world class practitioners to discuss practical problems and solutions related to computer vision and artificial intelligence.
Video AI has opened up entire new product opportunities for developers, but has also complicated writing software that can elegantly change alongside customer requirements. In tomorrow's episode, we will talk with Tyler Compton (Product Manager at Aotu.ai) to explore ways to address these problems, and you will learn about Open Vision Capsule.
Topic : Creating Video AI Solutions Without Sacrificing Agility
Time : 9 AM Pacific Time, April 22, 2021
Hosts : Tyler Compton (Product Manager at Aotu.ai), Satya Mallick (CEO, OpenCV.org), and Phil Nelson (Content Manager, OpenCV.org)
Free registration : Zoom Registration Link
Last week's episode with Brandon Minor (CEO, Tangram Vision) was a great discussion about sensors and how they're used in robotics and autonomous vehicles.
I hope to see you tomorrow!
Satya
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