Deep Learning – Machine Learning Geek

Recurrent Neural Networks

Recurrent Neural Networks are special kinds of deep learning networks that were meant specially for dealing with sequence modeling problems.

Learn the basics of the CNN model and perform image classification using Tensorflow and Keras. Convolutional Neural Networks use filters

Backpropagation neural network is used to improve the accuracy of neural network and make them capable of self-learning. Backpropagation means

The activation function defines the output of a neuron in terms of the induced local field. Activation functions are a

This is an introductory article for the artificial neural network. It is one of the machine learning techniques that is

Top-25 frequently asked data science interview questions and answers on Deep Learning for fresher and experienced Data Scientist, Data analyst,

Explore basic math concepts for data science and deep learning such as Scalar and Vector, Determinant, Singular Value Decomposition(SVD), Hadamard