Titas De

11 Questions 22 Answers 0 Followers

Questions related from Titas De

Alternative to back-propagation: Are there other popular alternatives to back-propagation through which a neural network can learn ?

I was wondering if there are other popular alternatives to back-propagation through which neural networks can learn the weights.

12 December 2019 6,295 6 View

Text Summarization: Are there standard NLP ( deep-learning ) techniques on paragraph summarization ?

Given a paragraph, are there standard techniques on paragraph summarization, like extracting relevant keywords. Anything in this direction will be help-ful

12 December 2019 2,748 6 View

Support Vector Machines: How do I theoretically calculate the maximum number of support vectors required for a machine learning problem ?

For a machine learning problem, how do I theoretically calculate the maximum number of support vectors required to solve the machine learning problem ?

12 December 2019 6,904 8 View

Support Vector Machines: How to find the minimum number of support vectors for a machine learning classification problem ?

How do I theoretically calculate the minimum number of support vectors required to solve a machine learning problem ?

12 December 2019 9,333 7 View

Deep Learning - transfer learning from one image classification dataset to another - Scientific process ?

Hi, is there any quantifiable scientific process to understand whether a deep learning model trained on a certain image classification dataset can be used for transfer learning for image...

11 November 2019 5,692 2 View

Machine Learning: Say we are given a classification dataset. Is there any systematic way to reduce the noise in the training labels ?

Reduction of noise in training labels.

11 November 2019 6,058 3 View

Machine Learning: Given a classification dataset, how can we quickly figure out that our dataset is really noisy ?

How can we figure out that our dataset is really noisy - both in terms of the data-points and labels ?

11 November 2019 9,133 1 View

Machine Learning Classification: How can we derive to the (theoretical) minimum classification error ?

Given a dataset, is there a systematic way to come to a maximum classification accuracy, beyond which no algorithm or classifier can improve the accuracy ?

11 November 2019 7,990 7 View

Apart from Self-Organizing maps, what are the most common neural network techniques used for clustering ?

Clustering - Neural Netowrks

09 September 2018 4,880 4 View

A 10-layer ResNet CNN trained from scratch gives lower classification accuracy than the same without residual connections. Any possible reasons ?

CNNs, Deep Learning, ResNet, Residual Connections

07 July 2018 698 5 View

Regarding CNNs in deep learning, can anyone tell me in which cases transfer learning increases the error or decreases the accuracy ?

Deep Learning - Transfer Learning

07 July 2018 5,078 5 View