Dishashree26 Gupta, Author at Analytics Vidhya

Fundamentals of Deep Learning – Activation Functions and When to Use Them?

Dishashree26 Gupta, January 30, 2020
Deep Learning, Intermediate, Python, Technique
11 most read Deep Learning Articles from Analytics Vidhya in 2017

Dishashree26 Gupta, December 21, 2017
Deep Learning, Intermediate, Listicle, Python, R, Resource
Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks

Dishashree26 Gupta, December 7, 2017
Algorithm, Classification, Deep Learning, Intermediate, Python, Supervised, Text, Unstructured Data
2 days to go for the DataHack Summit

Dishashree26 Gupta, November 6, 2017
Analytics Vidhya, Announcement, Beginner
30 Questions to test a Data Scientist on Deep Learning (Solution – Skill test, July 2017)

Dishashree26 Gupta, August 3, 2017
Deep Learning, Intermediate, Interview Questions, Skilltest
Architecture of Convolutional Neural Networks (CNNs) demystified

Dishashree26 Gupta, June 29, 2017
Algorithm, Classification, Deep Learning, Image, Intermediate, Python, Supervised, Unstructured Data
Transfer learning and the art of using Pre-trained Models in Deep Learning

Dishashree26 Gupta, June 1, 2017
Advanced, Classification, Deep Learning, Image, Python, Regression, Supervised, Technique, Uncategorized, Unstructured Data
25 Must Know Terms & concepts for Beginners in Deep Learning

Dishashree26 Gupta, May 21, 2017
Beginner, Deep Learning, Listicle, Machine Learning, Research & Technology, Resource
40 Questions on Probability for data science

Dishashree26 Gupta, April 10, 2017
Beginner, Business Analytics, Interview Questions, Interviews, Skilltest, Statistics
Introduction to Conditional Probability and Bayes theorem in R for data science professionals

Dishashree26 Gupta, March 14, 2017
Business Analytics, Intermediate, Python, Statistics, Technique

Fundamentals of Deep Learning – Activation Functions and When to Use Them?

Dishashree26 Gupta, January 30, 2020

11 most read Deep Learning Articles from Analytics Vidhya in 2017

Dishashree26 Gupta, December 21, 2017

Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks

Dishashree26 Gupta, December 7, 2017

2 days to go for the DataHack Summit

Dishashree26 Gupta, November 6, 2017

30 Questions to test a Data Scientist on Deep Learning (Solution – Skill test, July 2017)

Dishashree26 Gupta, August 3, 2017

Architecture of Convolutional Neural Networks (CNNs) demystified

Dishashree26 Gupta, June 29, 2017

Transfer learning and the art of using Pre-trained Models in Deep Learning

Dishashree26 Gupta, June 1, 2017

25 Must Know Terms & concepts for Beginners in Deep Learning

Dishashree26 Gupta, May 21, 2017

40 Questions on Probability for data science

Dishashree26 Gupta, April 10, 2017

Introduction to Conditional Probability and Bayes theorem in R for data science professionals

Dishashree26 Gupta, March 14, 2017

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Dishashree26 Gupta

Author: Since July 2016

Fundamentals of Deep Learning – Activation Functions and When to Use Them?

Dishashree26 Gupta, January 30, 2020

11 most read Deep Learning Articles from Analytics Vidhya in 2017

Dishashree26 Gupta, December 21, 2017

Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks

Dishashree26 Gupta, December 7, 2017

2 days to go for the DataHack Summit

Dishashree26 Gupta, November 6, 2017

30 Questions to test a Data Scientist on Deep Learning (Solution – Skill test, July 2017)

Dishashree26 Gupta, August 3, 2017

Architecture of Convolutional Neural Networks (CNNs) demystified

Dishashree26 Gupta, June 29, 2017

Transfer learning and the art of using Pre-trained Models in Deep Learning

Dishashree26 Gupta, June 1, 2017

25 Must Know Terms & concepts for Beginners in Deep Learning

Dishashree26 Gupta, May 21, 2017

40 Questions on Probability for data science

Dishashree26 Gupta, April 10, 2017

Introduction to Conditional Probability and Bayes theorem in R for data science professionals

Dishashree26 Gupta, March 14, 2017