Archives for ALBERT

11 Jul

On-Device Speech Representation Using TensorFlow Lite

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image-24185

Representation learning is a machine learning (ML) method that trains a model to discover prominent features. It may apply to a wide range of downstream tasks– including Natural Language Processing (BERT and ALBERT) and picture analysis and classification (Inception layers and SimCLR). Last year, researchers developed a baseline for comparing speech representations and a new,…

The post On-Device Speech Representation Using TensorFlow Lite appeared first on Analytics India Magazine.

22 Apr

10 Must Read Technical Papers On NLP For 2020

Natural language processing (NLP) portrays a vital role in the research of emerging technologies. It includes sentiment analysis, speech recognition, text classification, machine translation, question answering, among others. If you have watched any webinar or online talks of computer science pioneer Andrew NG, you will notice that he always asks AI and ML enthusiasts to…

The post 10 Must Read Technical Papers On NLP For 2020 appeared first on Analytics India Magazine.

01 Oct

Google’s NLP-Powered Pretraining Method ALBERT Is Leaner & Meaner

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image-7406

Natural Language Processing (NLP) is one of the most diversified domains in emerging tech. Last year, search engine giant Google open-sourced a technique known as Bi-directional Encoder Representations from Transformers (BERT) for NLP pre-training. This model helped the researchers to train a number of state-of-the-art models in about 30 minutes on a single Cloud TPU,…

The post Google’s NLP-Powered Pretraining Method ALBERT Is Leaner & Meaner appeared first on Analytics India Magazine.