Archives for distillation
Transfer Learning methods are primarily responsible for the breakthrough in Natural Learning Processing(NLP) these days. It can give state-of-the-art solutions by using pre-trained models to save us from the high computation required to train large models. This post gives a brief overview of DistilBERT, one outstanding performance shown by TL on natural language tasks, using…
The post Python Guide to HuggingFace DistilBERT – Smaller, Faster & Cheaper Distilled BERT 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.