Categories
updates
Knowledge Distillation in Neural Networks
Knowledge Distillation
In updates, By archana, Dec 31, 2021
We got funded!
Every open source project dreams of being able to take on its wings and become successful. But we know these projects need effort, time and above all the funding to help support the d...
In updates, By archana, Dec 23, 2021
Introducing ScaleDown
Over the last decade, the popularity of smart connected devices has led to an exponential growth of Internet of Things (IoT) devices. Around the same time, the availability of a vast ...
In updates, By soham, Jul 14, 2021
Computer Vision
Some More Tricks to Shrink CNNs for TinyML
Pete Warden had written a post about
In Computer Vision, By soham, Aug 18, 2021
paper review
Contrastive Sesion Fusion and its Applications in TinyML
Often times the data your model is trained with will be different from the data it received when deployed. For instance, in an image classification task, your training data may have b...
In paper review, By archana, Sep 01, 2021
education
Learning TinyML is Hard. Here is what ScaleDown is trying to do about it
A few days ago, we announced that our project received the No Starch Press Foundation grant. Their decision has given us the motivation to continue working on this project and the con...
In education, By soham, Jan 01, 2022
Featured
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Learning TinyML is Hard. Here is what ScaleDown is trying to do about it
In education, By soham, -
Quantization in Neural Networks
In updates, By archana, -
Knowledge Distillation in Neural Networks
In updates, By archana, -
We got funded!
In updates, By archana, -
Contrastive Sesion Fusion and its Applications in TinyML
In paper review, By archana, -
Some More Tricks to Shrink CNNs for TinyML
In Computer Vision, By soham,