#neural-networks

Articles tagged with #neural-networks

#70 Machine Learning & Data Science Challenge 70
What is a Dropout in a Neural Network? Dropout refers to ignoring units during the training phase of a certain set of neurons which is chosen randomly. These units are not considered during the particular forward or backward pass. More technically,...
Jan 23, 20232 min read6
#62 Machine Learning & Data Science Challenge 62
What are autoencoders? An autoencoder is a neural network that has three layers: An input layer, a hidden layer which is also known as the encoding layer, and a decoding layer. This network is trained to reconstruct its inputs, which forces the hidd...
Jan 20, 20232 min read10
#55 Machine Learning & Data Science Challenge 55
What kind of problem can be solved by using deep learning? Deep Learning is a branch of Machine Learning, which is used to solve problems in a way that mimics the human way of solving problems. Examples: Image recognition Object Detection Natural ...
Jan 17, 20231 min read81
#53 Machine Learning & Data Science Challenge 53
What is perceptron and how it is related to human neurons? If we focus on the structure of a biological neuron, it has dendrites, which are used to receive inputs. These inputs are summed in the cell body and using the Axon it is passed on to the ne...
Jan 16, 20231 min read15
Data Science Interview Question 10
Most Favorable Data Science Interview Questions and Answers for Beginners
Jul 30, 20222 min read3
Most Famous Unsupervised Machine Learning Algorithms
Unsupervised machine learning algorithms to analyze and cluster unlabeled datasets
Jul 12, 20222 min read28