deep learning

May 2, 2020

Meta-learning of Adversarial Generative models

Key Innovation by Samsung AI Research on Adversarial Learning Motivation Convolutional neural networks have been successful in generating realistic human head images by training neural networks on a large dataset of images of a single person. However, in many practical scenarios, such personalized talking customised head models has to be built with extra features that can display some of the physical characteristics of the human body (including eyes, ears, checks, movement of face). When such […]

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Elections2019, Real Use Cases

May 2, 2020

Sentiment Analysis using Deep Learning techniques with India Elections 2019 — A Case study

Predict BJP Congress Sentiment using Deep Learning Motivation India’s most anticipated events of 2019 — General Elections of Lok Sabha is knocking our doors! The prominent parties standing for the elections, party leaders and representatives have a busy schedule organizing campaigns and convincing people to vote. While the media is busy capturing all events starting from press conferences to any gatherings, and putting it in front of public, the public is deeply engrossed with latest […]

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Deep Learning Vs Deep Reinforcement Learning Algorithms in Retail Industry

Deep Learning, Retail

May 1, 2020

Deep Learning Vs Deep Reinforcement Learning Algorithms in Retail Industry — II

LSTM, Transfer, Federated Learning, Reinforcement, and Deep Reinforcement Learning Introduction In continuation to my previous blog, which discussed on the different use-cases of machine learning algorithms in retail industry, this blog highlights some of the recent advanced technological concepts like role of IoT, Federated learning and Reinforcement learning in the context of retail industry. This blog is structured as follows: The use of IoT in retail domain and how different ML algorithms and feature extraction strategies […]

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Traditional vs Deep Learning in Retail Industry

Deep Learning, Retail

May 1, 2020

Traditional vs Deep Learning Algorithms in Retail Industry — I

Motivation — The Importance of Analytics in Retail Retail industry faces a difficult situations as retailers would like to understand the products that are very similar to each other in order to evaluate which product is better off not promoting from the similar products in the same week to increase sales activity and profit margins. Retailers need to consider various aspects of individual store management in geographically distributed areas to allow continuous flow of inventory at […]

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Heart Disease Classification Apache Beam with Tensorflow

Google AI Research

April 28, 2020

Heart disease Classification with Apache beam and Tensorflow Transform

Multi-class Classification with Linear and Boosted Trees Classifier Introduction Machine learning models include the step of preprocessing or feature engineering before the data is actually trainable. Feature Engineering includes normalizing and scaling data, encoding categorical values as numerical values, forming vocabularies, and binning of continuous numerical values. Distributed frameworks like Google Cloud Dataflow or Apache Spark are often well known for applying large scale data preprocessing. To remove the inconsistency between training and serving ML models from […]

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