Archives for model compression
“How much of the data is superfluous? Which examples are important for generalisation? And how does one find them?” With the cost for deep learning model training on the rise, individual researchers and small organisations are settling for pre-trained models. Today, the likes of Google or Microsoft have budgets (read:millions of dollars) for training state…
The post Stanford Researchers Put Deep Learning On A Data Diet appeared first on Analytics India Magazine.
Increasing number of parameters, latency, resources required to train etc have made working with deep learning tricky. Google researchers, in an extensive survey, have found common challenging areas for deep learning practitioners and suggested key checkpoints to mitigate these challenges. For instance, deep learning practitioner might face the following challenges when deploying a model: Training…
The post How To Optimise Deep Learning Models appeared first on Analytics India Magazine.
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.
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.