Fine-Tuning BERT using CoQA dataset to build a Q&A model — In this article we are going to understand how we can fine-tune the BERT model to a question answering model. Simply put, when we input a paragraph containing the answers and questions related to the paragraph, the task of the fine-tuned model is to predict the answer from the given…

Exploring BERT and understand how to fine-tune it for any text classification task — What is BERT? BERT (Bidirectional Encoder Representations from Transformers) is one of the breakthrough papers published by Google AI Language researchers. It has made a stir in the Deep Learning community by delivering cutting-edge results in a wide range of natural language processing tasks. Devlin et al. used English Wikipedia and BookCorpus to…

Exploring biLSTM and how to use it for text classification — What is Text Classification? The process of classifying natural language documents with applicable categories from a labeled collection is known as text classification or text categorization. Text classification, in layman’s terms, is the process of extracting generic labels (drawn from a list of pre-defined groups) from unstructured text.

Defining the LSTM model architecture and implementing it for sentiment analysis — What is Sentiment Analysis? Sentiment analysis is identifying if a given text string is positive, negative, or neutral (i.e. the polarity of a sentence). Sentiment analysis aids data analysts in major organizations in evaluating public opinion, doing detailed market research, monitoring a product’s reputation, and better comprehending customer experiences.

Using Flutter Mobile Vision package to implement a real-time OCR on Mobile — In the previous articles of this series on developing Flutter application with TensorFlow Lite, we looked at how we can develop Digit Recognizer with Flutter and TensorFlow Lite, Image Classification with Flutter and TensorFlow Lite, Object Detection with Flutter and TensorFlow Lite, Turning the Mobile Camera into a Real-Time Object…

Integrating Mobile Camera for Real-Time Pose Estimation with Flutter, TensorFlow Lite, and PoseNet — In the previous articles of this series on developing Flutter application with TensorFlow Lite, we looked at how we can develop Digit Recognizer with Flutter and TensorFlow Lite, Image Classification with Flutter and TensorFlow Lite, Object Detection with Flutter and TensorFlow Lite, and Turning the Mobile Camera into a Real-Time…

Integrating Mobile Camera for Real-Time Object Detection with Flutter, TensorFlow Lite, and COCO SSD MobileNet — In the previous article of this series on developing Flutter applications with TensorFlow Lite, we looked at how we can develop Digit Recognizer with Flutter and TensorFlow Lite, Image Classification with Flutter and TensorFlow Lite, and Object Detection with Flutter and TensorFlow Lite.

How to develop an object detector mobile application with Flutter, using TensorFlow Lite and SSD MobileNet — In the previous article of this series on developing Flutter applications with TensorFlow Lite, we looked at how we can develop digit recognizer with Flutter and TensorFlow Lite and image classification with Flutter and TensorFlow Lite. In the third article of this series, we’ll keep working with TensorFlow Lite, this…

Develop an image classifier mobile application with Flutter, using TensorFlow Lite and Google’s Teachable Machine — In the previous article of this series on developing Flutter applications with TensorFlow Lite, we looked at how we can develop a Digit Recognizer using TensorFlow Lite. In the second article of the series, we’ll keep working with TensorFlow Lite, this time focusing on implementing image classification to classify images…