Machine Learning

7 years ago 0 107

What is Dropout? How does it prevent overfitting in a neural network?

Dropout is an effective regularization technique used in neural networks which increases generalization capabilities of a deep learning model and prevent it ...

7 years ago 0 88

Deep Learning Machine Learning

Dying ReLU: Causes and Solutions (Leaky ReLU)

ReLU (Rectified Linear Unit) is a widely used activation function in a neural network which outputs zero if ...

7 years ago 0 104

Deep Learning Machine Learning

Basic Frameworks to implement Deep Learning Algorithms

There are a lot of frameworks available to implement deep learning algorithms. You don't need to implement CNN, RNN, ...

7 years ago 0 112

Deep Learning Machine Learning

Gradient Descent Algorithm in Deep Learning: Batch, Stochastic and Mini Batch

Gradient Descent is the widely used algorithm to optimize our neural networks in deep learning. There are a ...

7 years ago 0 115

Deep Learning Dimensionality Reduction Machine Learning

Autoencoders in Deep Learning: Components, Types and Applications

Autoencoder is a special kind of neural network in which the output is nearly same as that of ...

7 years ago 0 120

Deep Learning Machine Learning

Activation (Squashing) Functions in Deep Learning: Step, Sigmoid, Tanh and ReLu

There are mainly four activation functions (step, sigmoid, tanh and relu) used in neural networks in deep learning. ...

7 years ago 0 109

Deep Learning Machine Learning

A comparison between Machine Learning and Deep Learning (Machine Learning vs Deep Learning)

Deep Learning is considered as subset of Machine Learning. Both have a lot of similarities and differences. Lets ...

7 years ago 0 101

Deep Learning Machine Learning

A journey from a simple Perceptron (Artificial Neuron) to complex Neural Networks

Perceptron is an artificial neuron and is the fundamental unit of a neural network in deep learning. It ...

7 years ago 0 108

Deep Learning Machine Learning

Basic introduction of various layers in CNN (Convolutional Neural Network)

CNN (Convolutional Neural Network) is a feed-forward neural network as the information moves from one layer to the ...

7 years ago 0 102

Deep Learning Machine Learning TensorFlow

TensorFlow: Tensors, Computational Graphs, Nodes, Estimators and TensorBoard

TensorFlow library was developed by the Google Brain Team for complex numeric calculations (like numpy). It relies on ...

7 years ago 0 113

Deep Learning Machine Learning

Basic introduction of RNN (Recurrent Neural Network) in Deep Learning

RNN stands for Recurrent Neural Network. It is a type of neural network which contains memory and best ...

7 years ago 0 95

Deep Learning Machine Learning

Online Machine Learning and Deep Learning Quiz (300+ Objective Type Questions)

I have created an online quiz on Machine Learning and Deep Learning. This quiz contains objective type questions ...

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