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The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural ...

This video provides a complete breakdown of SwiGLU, explaining why it has become the standard in state-of-the-art Transformer ...

We start with the whats/whys/hows. Then delve into details (math) with examples. Follow me on M E D I U M: ...

Resources: This video is a part of my course: Modern AI: Applications and Overview ...

Get your Free Token for AssemblyAI Speech-To-Text API ...

In this video, we learn why we need activation functions in neural networks.

Take the Deep Learning Specialization: http://bit.ly/2IcuTOr Check out all our courses: https://www.deeplearning.ai Subscribe to ...

This video describes how the non-linearity of activation function helps in solving problems which would otherwise not be solvable ...

Experimenting with different activation functions in a simple convolutional neural network (CNN) to verify the Universal ...

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Building Neural Networks from scratch in python. This is the ninth video of the course - "Neural Networks From Scratch".

AI concepts simplified!

*ReLU's Function*: Discover how ReLU adds nonlinearity to the CNN by modifying feature maps, which helps in handling ...

After going through this video, you will know: 1. What are the basics problems of Sigmoid and Threshold activation function? 2.

ReLU Leaky ReLU Parametric ReLU Activation Functions Solved Example in Machine Learning by Mahesh Huddar The following ...

In this video we explain the various ReLU activation function variants including: Leaky ReLU (LReLU), Parametric ReLU (PReLU), ...

Rectified Linear Unit Activation Function RELU is a non-linear neural network activation function. This is the most widely used ...

In machine learning, feed-forward neural networks are popular because they use matrix multiplications at each step. when ...

What are the neurons, why are there layers, and what is the math underlying it? Help fund future projects: ...

In this video, I'll be discussing 10 different activation functions used in machine learning, providing visualizations of their graphs ...