Machine Learning and Deep Learning Applications-A Vision (2021-01-23T00:00:00.000000Z)

TL;DR

An insight survey for machine learning along with deep learning applications in various domains is provided and some applications with new normal COVID-19 blues are exemplified.

Authors

Neha Sharma

1 papers

Reecha Sharma

1 papers

N. Jindal

1 papers

TL;DR

Authors

References32 items

NLPGym - A toolkit for evaluating RL agents on Natural Language Processing Tasks

Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking

Semi-Supervised Low-Resource Style Transfer of Indonesian Informal to Formal Language with Iterative Forward-Translation

Castle in the Sky: Dynamic Sky Replacement and Harmonization in Videos

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors

Old Photo Restoration via Deep Latent Space Translation

Mobile technologies for contact tracing and prevention of COVID-19 positive cases: a cross- sectional study

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

SEIR and Regression Model based COVID-19 outbreak predictions in India

Forecasting the dynamics of COVID-19 Pandemic in Top 15 countries in April 2020: ARIMA Model with Machine Learning Approach

Multiple-Input Deep Convolutional Neural Network Model for COVID-19 Forecasting in China

Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks

Predicting the epidemic trend of COVID-19 in China and across the world using the machine learning approach

A Review of Machine Learning and Deep Learning Applications

Deep learning for sentiment analysis: A survey

A Survey on Deep Learning in Big Data

Deep Residual Learning for Image Recognition

Deep learning applications and challenges in big data analytics

Big Data Opportunities and Challenges: Discussions from Data Analytics Perspectives [Discussion Forum]

Big Data Deep Learning: Challenges and Perspectives

Supervised Machine Learning: A Review of Classification Techniques

A Fast Learning Algorithm for Deep Belief Nets

Introduction: The challenge of reinforcement learning

The perceptron: a probabilistic model for information storage and organization in the brain.

Test mode power computation and IR drop analysis of application specific integrated circuits implementing face detection algorithms

This PDF file includes: Materials and Methods

Gradient-based learning applied to document recognition

A logical calculus of the ideas immanent in nervous activity

Neocognitron: A hierarchical neural network capable of visual pattern recognition

A Learning Algorithm for Boltzmann Machines

Perceptrons: An Introduction to Computational Geometry

Field of Study

Journal Information

Name

Venue Information

Name

Type

URL

Alternate Names