Deep Learning
Recurrent Neural Networks
Recurrent Neural Networks are special kinds of deep learning networks that were meant specially for dealing with sequence modeling problems.…
Understanding Convolutional Neural Network (CNN) using Python
Learn the basics of the CNN model and perform image classification using Tensorflow and Keras. Convolutional Neural Networks use filters…
Backpropagation Neural Network using Python
Backpropagation neural network is used to improve the accuracy of neural network and make them capable of self-learning. Backpropagation means…
Activation Functions
The activation function defines the output of a neuron in terms of the induced local field. Activation functions are a…
Introduction to Artificial Neural Network
This is an introductory article for the artificial neural network. It is one of the machine learning techniques that is…
Data Science Interview Questions Part-8(Deep Learning)
Top-25 frequently asked data science interview questions and answers on Deep Learning for fresher and experienced Data Scientist, Data analyst,…
Demystifying Mathematical Concepts for Deep Learning
Explore basic math concepts for data science and deep learning such as Scalar and Vector, Determinant, Singular Value Decomposition(SVD), Hadamard…