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Parveen Khurana
Parveen Khurana

206 Followers

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Foundations of Data Science

Nowadays, all of us have heard that “Data is the new oil and the Data Science is the combustion engine that drives it” or “Data Science is the most sought after job of the twenty-first century” or “Data Science is the future”. …

Data Science

19 min read

Foundations of Data Science
Foundations of Data Science
Data Science

19 min read


Apr 15, 2022

Udacity Nanodegree Capstone — Dog Breed Classification

Project Overview / Problem Introduction As part of this project, a Convolutional Neural networks (CNNs) is trained that processes real-world, user-supplied images to identify if it contains a dog or a human face and then predict the closest breed the dog or the human face resembles with. Typically, CNNs are deep neural networks that require…

9 min read

Udacity Nanodegree Capstone — Dog Breed Classification
Udacity Nanodegree Capstone — Dog Breed Classification

9 min read


Apr 14, 2022

Trends in the tech industry

Is technology the same as in 2011 or do we need to update ourselves? Are there currently more women in our industry compared to 2011? Where do most developers live? In order to gain an understanding of how the technology industry is changing, we examined data StackOverflow developer's survey data…

3 min read

Trends in the tech industry
Trends in the tech industry

3 min read


Mar 20, 2022

The whiteboard analogy to deal with vanishing and exploding gradients

In the previous article, we briefly touched upon the problem of “Vanishing and Exploding gradients”, especially when dealing with longer sequences. In this article, one strategy termed “selectively read, selectively write and selectively forget” is discussed that would help to deal with the problem of vanishing and exploding gradients In…

Data Science

6 min read

The whiteboard analogy to deal vanishing and exploding gradients
The whiteboard analogy to deal vanishing and exploding gradients
Data Science

6 min read


Feb 13, 2022

Learning Algorithm - Recurrent Neural Networks(RNNs)

In the last article, we discussed the loss function jar for Sequence-based problems. In this article, details about the learning algorithm are discussed: Learning Algorithm One question at this point would be “can the gradient descent algorithm be used in the context of a recurrent neural network?” The standard recipe that is…

Neural Networks

8 min read

Learning Algorithm - Recurrent Neural Networks(RNNs)
Learning Algorithm - Recurrent Neural Networks(RNNs)
Neural Networks

8 min read


Feb 10, 2022

Loss Function — Recurrent Neural Networks(RNNs)

In the last article, we discussed the Data Modeling jar for Sequence labeling and sequence classification problems. In this article, we touch upon the loss function the sequence-based problems Loss Function Sequence Classification Task Let’s say there are “2 classes positive and negative” and in this case (snippet below), the “actual label…

Neural Networks

4 min read

Loss Function — Recurrent Neural Networks(RNNs)
Loss Function — Recurrent Neural Networks(RNNs)
Neural Networks

4 min read


Feb 7, 2022

Data Modeling for Recurrent Neural Networks (RNN)

In the last article, we discussed the Data and Task jar for Sequence labeling problems. In this article, we touch upon the data modeling aspect for Sequence classification and sequence labeling problems Data Modeling A model is an approximation of the true relationship that exists between the input and the output. And…

Neural Networks

4 min read

Data Modeling for Recurrent Neural Networks (RNN)
Data Modeling for Recurrent Neural Networks (RNN)
Neural Networks

4 min read


Feb 6, 2022

Data and Tasks jar for Sequence Labeling — Recurrent Neural Networks(RNNs)

In the last article, we discussed the Data and Task jar for Sequence classification-specific problems. In this article, we touch upon the Data and Task jar for Sequence labeling problems Data and Tasks for Sequence Labeling Let’s first discuss the objective of Sequence Labeling — Here, for every word in the input sentence, the model predicts…

Neural Networks

5 min read

Data and Tasks jar for Sequence Labeling — Recurrent Neural Networks(RNNs)
Data and Tasks jar for Sequence Labeling — Recurrent Neural Networks(RNNs)
Neural Networks

5 min read


Feb 6, 2022

Data and Tasks jar for Sequence Classification — Recurrent Neural Networks(RNNs)

In the last article, we touched upon the base of RNNs and discussed how RNNs inherently covers all the desired properties of an ideal network to address sequence-based problems

Neural Networks

10 min read

Data and Tasks jar for Sequence Classification — Recurrent Neural Networks(RNNs)
Data and Tasks jar for Sequence Classification — Recurrent Neural Networks(RNNs)
Neural Networks

10 min read


Jan 31, 2022

How to model sequence learning problems?

How to model sequence learning problems? In the previous article, we looked at the base and properties of sequence learning problems, and some examples of sequence learning problems in NLP, video, and speech data. In this article, let’s dive into the details of the modeling aspect of sequence-based problems Let’s consider the task of character prediction…

Lstm

10 min read

How to model sequence learning problems?
How to model sequence learning problems?
Lstm

10 min read

Parveen Khurana

Parveen Khurana

206 Followers
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