TensorFlow

TensorFlow is an open-source machine learning framework developed by Google that enables developers to build and train deep learning models efficiently. It supports a wide range of tasks including image recognition, natural language processing, and time series forecasting across CPUs, GPUs, and TPUs.

TensorFlow for Efficient Legal Document Summarization

Introduction to Legal Document Summarization Legal document summarization has emerged as a critical process in the modern legal landscape, facilitating […]

The Power of TensorFlow and BERT for Document Classification

Introduction to Document Classification Document classification is a fundamental task in the fields of natural language processing (NLP), information retrieval,

TensorFlow for Coreference Resolution in Documents

Introduction to Coreference Resolution Coreference resolution is a critical task in the field of natural language processing (NLP) that involves

TensorFlow for Relation Extraction in Text Datasets

Introduction to Relation Extraction Relation extraction is a subtask of natural language processing (NLP) that focuses on identifying and classifying

TensorFlow for Knowledge Graph Embedding Models

Introduction to Knowledge Graphs Knowledge graphs are structured representations of information, designed to illustrate the relationships and entities within a

TensorFlow for Multi-Turn Conversation Modeling

Introduction to Multi-Turn Conversation Models Multi-turn conversation models represent a significant advancement in the realm of natural language processing (NLP).