Machine Learning

Overview Deep Learning is defined as part of a broader family of machine learning methods based on artificial neural networks...

Variable Identification Types of variable - Predictor variables (Input) and Target Variables (Output)Data Types - Character (Gender), Numeric (Height, Weight)Variable...

TensorFlow lets you use deep learning techniques to perform image segmentation, a crucial part of computer vision. There are many...

A capsule network is a neural network architecture developed by Stanford scientist Geoffrey Hinton. In the capsule network, a distinct...

Fully connected layers are an essential component of Convolutional Neural Networks (CNNs), which have been proven very successful in recognizing...

The world around us is full of detail, and we intuitively understand the difference between natural and fake objects. The...

The perceptron is the basic unit powering what is today known as deep learning. It is the artificial neuron that,...

Advances in the field of computer vision have been spearheaded by the adoption of Convolutional Neural Networks (CNNs). There are a...

Backpropagation is a basic concept in modern neural network training. In real-world projects, you will not perform backpropagation yourself, as...

Neural network activation functions are a crucial component of deep learning. Activation functions determine the output of a deep learning...