Overview Activation function is one of the building blocks on Neural Network Learn about the different activation functions in deep…
Continue Readingactivation
Neural Networks: parameters, hyperparameters and optimization strategies
Well, if you think about a generic loss function with only one weight, the graphic representation will be something like…
Continue ReadingExtending PyTorch with Custom Activation Functions
Extending PyTorch with Custom Activation FunctionsA Tutorial for PyTorch and Deep Learning BeginnersAlexandra DeisBlockedUnblockFollowFollowingJun 27IntroductionToday deep learning is going viral…
Continue ReadingComprehensive Introduction to Neural Network Architecture
Comprehensive Introduction to Neural Network ArchitectureA detailed overview of neural architecture, activation functions, loss functions, output units. Matthew Stewart, PhD ResearcherBlockedUnblockFollowFollowingJun…
Continue ReadingDeep Neural Networks from scratch in Python
The network can be applied to supervised learning problem with binary classification. Figure 1. Example of neural network architectureNotationSuperscript [l]…
Continue ReadingNeural Network Activation Function Types
Neural Network Activation Function TypesUnderstanding what really happens in a neural networkFarhad MalikBlockedUnblockFollowFollowingMay 18This article aims to explain how the activation functions…
Continue ReadingWhy Data should be Normalized before Training a Neural Network
Why Data should be Normalized before Training a Neural NetworkAnd Why Tanh Generally Performs Better Than SigmoidTimo StöttnerBlockedUnblockFollowFollowingMay 16Photo by Clint Adair…
Continue ReadingGoogle and OpenAI Help You See What Neural Networks See
Google and OpenAI Help You See What Neural Networks SeeJesus RodriguezBlockedUnblockFollowFollowingMar 7Interpretability is one of the biggest challenges of deep neural…
Continue ReadingHandCrafting an Artificial Neural Network
HandCrafting an Artificial Neural NetworkIn this article, I have implemented a fully vectorized code for Artificial Neural Network with Dropout and…
Continue ReadingA Gentle Introduction to the Rectified Linear Activation Function for Deep Learning Neural Networks
In a neural network, the activation function is responsible for transforming the summed weighted input from the node into the…
Continue ReadingHow would we find a better activation function than ReLU?
Then it adds a bias, b, to that sum to arrive at a final value — that’s what that Σ symbol means.…
Continue ReadingActivation Functions in Neural Networks
It is not to scale but we can determine the error terms are reduced as learning is happening at an…
Continue Reading