Parametric ReLU | SELU | Activation Functions Part 2
Author(s): Shubham Koli Originally published on Towards AI. Parametric ReLU U+007C SELU U+007C Activation Functions Part 2 What is Parametric ReLU ? Rectified Linear Unit (ReLU) is an activation function in neural networks. It is a popular choice among developers and researchers …
Parametric ReLU | SELU | Activation Functions Part 2
Author(s): Shubham Koli Originally published on Towards AI. Parametric ReLU U+007C SELU U+007C Activation Functions Part 2 What is Parametric ReLU ? Rectified Linear Unit (ReLU) is an activation function in neural networks. It is a popular choice among developers and researchers …
The Sigmoid Function: A Key Building Block in Neural Networks
Author(s): Towards AI Editorial Team Originally published on Towards AI. Image by David Mark from Pixabay A complete guide to the sigmoid function Author(s): Pratik Shukla “The road to success and the road to failure are almost exactly the same.” — Colin …
Single Input Neuron — What is it?
Author(s): Sujeeth Kumaravel Originally published on Towards AI. A neuron is a system that takes an input, performs a computation on that input, and gives an output. The following is the block diagram of a neuron that takes a single numerical scalar …
Introduction to Autoregressive Models
Author(s): Albert Nguyen Originally published on Towards AI. This article is a preparation for the upcoming article about Autoregressive Diffusion Models. Distribution estimation is a core problem in many Deep Learning applications, including classification, regression, and more. Many estimation methods have been …
Step-By-Step Machine Learning Project in Python — Credit Card Fraud Detection
Author(s): Fares Sayah Originally published on Towards AI. Demonstration of How to Handle Highly Imbalanced Classification Problems Photo by CardMapr on Unsplash What is Credit Card Fraud? Credit card fraud occurs when an individual uses someone else’s credit card or account information …
Deep Learning Explained: Perceptron
Author(s): Clément Delteil Originally published on Towards AI. The key concept behind every neural network. This member-only story is on us. Upgrade to access all of Medium. Source: Image by Gerd Altmann from Pixabay Nowadays, frameworks such as Keras, TensorFlow, or PyTorch …
GELU : Gaussian Error Linear Unit Code (Python, TF, Torch)
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Code tutorial for GELU, Gaussian Error Linear Unit activation function. Includes bare python, Tensorflow and Pytorch code. This member-only story is on us. Upgrade to access all of Medium. Photo by Markus Winkler on …
Types of Activation Function
Author(s): Saurabh Saxena Originally published on Towards AI. Activation Function in Neural Networks Image by Author An Activation Function decides whether a neuron should be activated or not, sometimes, it is also called a transfer function. The primary role of the activation …
Machine Learning Project in Python Step-By-Step — Predicting Employee Attrition
Author(s): Fares Sayah Originally published on Towards AI. AI for Human Resources: Predict attrition of your valuable employees using Machine Learning Photo by Marvin Meyer on Unsplash Human Resources & AI An organization’s human resources (HR) function deals with the most valuable …
Stop Using Grid Search! The Complete Practical Tutorial on Keras Tuner
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Contents: This member-only story is on us. Upgrade to access all of Medium. Keras Tuner practical tutorial for automatic hyperparameter tuning of deep neural networks. An autoML tutorial. Photo by Veri Ivanova on UnsplashIntroLoad …
Keras EarlyStopping Callback to train the Neural Networks Perfectly
Author(s): Muttineni Sai Rohith Originally published on Towards AI. In the Arrowverse series, When Arrow says to Flash — “Take your own advice, wear a mask”, “You can be better” — Well, I thought, maybe if we have some same kind of …
What Is the Connection Between a World Model, Schrödinger’s Cat, and Neural Networks?
Author(s): Alexander Kovalenko Originally published on Towards AI. Using Physics-Informed Neural Network (PINN) to solve famous Schrödinger Equation source For centuries, curious minds have been trying to crack the structure of the world around us. Most would agree that any branch of …
Demystifying GELU
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Python Code for GELU activation function This member-only story is on us. Upgrade to access all of Medium. Photo by Willian B. on Unsplash In this tutorial we aim to comprehensively explain how Gaussian …
Let’s Learn: Neural Nets #2 — Nodes
Author(s): Bradley Stephen Shaw Originally published on Towards AI. A beginner’s guide to nodes and neurons in neural nets. Photo by Thomas Couillard on Unsplash Following the Feyman approach to learning about neural networks, I’ve identified that I know a little bit …
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