Archives for quantization
Model compression is a technique of deploying state-of-the-art deep networks in devices with low power and resources, without compromising much on the accuracy of the model.
The post Model Compression Is The Big ML Flavour Of 2021 appeared first on Analytics India Magazine.
Quantization is the process of mapping the high precision values (a large set of possible values) to low precision values(a smaller set of possible values). Quantization can be done on both weights and activations of a model.
The post What is Apple’s Quant for Neural Networks Quantization appeared first on Analytics India Magazine.
When OpenAI released its GPT model, it had 1.5 billion parameters and made it the biggest model back then. It was soon eclipsed by NVIDIA’s Megatron, which had 8 billion parameters. Last month Microsoft released the world’s largest language model Turing NLG that has 17 billion parameters. In terms of hardware, any model with more…
The post Are Larger Models Better For Compression appeared first on Analytics India Magazine.
As larger neural networks with more layers and nodes are considered, reducing their storage and computational cost becomes critical, especially for some real-time applications such as online learning and incremental learning In addition, recent years witnessed significant progress in virtual reality, augmented reality, and smart wearable devices, creating challenges in deploying deep learning systems to…
The post 8 Neural Network Compression Techniques For ML Developers appeared first on Analytics India Magazine.
This is a world more or less run on smart devices and safety has become the key feature for leading tech enterprises. There is now a push for complete transition into AI enabled devices for smarter, more efficient features. To pack these palm sized gadgets with the advantages ML brings in, the neural networks are…
The post How To Build Safer Neural Networks In The Age of Smart Devices appeared first on Analytics India Magazine.
AI has already taken up a lot of space in the industries. Even if the general population thinks the technology is not very prominent, it is taking up a lot of applications in the commercial world. We do not even certain applications that could be a result of AI but they are in everyday lives.…
The post Why Is It Important To Make Your Neural Networks Compact appeared first on Analytics India Magazine.