Archives for tensorflow hub
Sentiment analysis is a part of natural language processing used to determine whether the sentiment of the data under observation is positive, negative or neutral. Usually, sentiment analysis is carried on text data to help professionals monitor and understand their brand and product sentiment across the industry and customers by taking the feedback.
The post Guide To Build A Simple Sentiment Analyzer Using TensorFlow-Hub appeared first on Analytics India Magazine.
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.
Object detection is the process of classifying and locating objects in an image using a deep learning model. Object detection is a crucial task in autonomous Computer Vision applications such as Robot Navigation, Self-driving Vehicles, Sports Analytics and Virtual Reality. Locating objects is done mostly with bounding boxes. Instance segmentation masks and key points are…
The post Getting Started With Object Detection Using TensorFlow appeared first on Analytics India Magazine.
ALBERT is a lite version of BERT which shrinks down the BERT in size while maintaining the performance.
The post Complete Guide to ALBERT – A Lite BERT(With Python Code) appeared first on Analytics India Magazine.
ALBERT is a lite version of BERT which shrinks down the BERT in size while maintaining the performance.
The post Complete Guide to ALBERT – A Lite BERT(With Python Code) appeared first on Analytics India Magazine.
ALBERT is a lite version of BERT which shrinks down the BERT in size while maintaining the performance.
The post Complete Guide to ALBERT – A Lite BERT(With Python Code) appeared first on Analytics India Magazine.
In this article, we present a very fast and effective way to neural style transfer in images using the TensorFlow Hub module. The TF-Hub module provides the pre-trained VGG Deep Convolutional Neural Network for style transfer. This approach takes less than four seconds to transfer style to a content image.
The post Hands-On guide To Neural Style Transfer using TensorFlow Hub Module appeared first on Analytics India Magazine.