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STSW02 | Prof. Johannes Schmidt-hieber | Statistical theory for deep neural networks with ReLU activation function Speaker: ...

If we stack thousands of layers of neurons without activation functions, what do we get? We get a single linear regression model.

In this video, we break down the AlexNet convolutional neural network architecture layer by layer. We cover convolutions, pooling, ...

Activation Functions are the heart of Neural Networks. Without them, AI models would be dumb, linear, and unable to learn ...

ReLU looks simple, but it changes geometry. In this video, I show how a tiny 2D ReLU network turns a straight decision line into a ...

Hello everyone, this is my first video about artificial intelligence. I'm going to show you the biological support behind the ReLU ...

ReLU (Rectified Linear Unit) is fundamental in Convolutional Neural Networks (CNNs) because it introduces crucial non-linearity, ...

In this video, we showcase how bleaching trays can be designed using Relu's AI-powered dental design service Bleaching Trays.

Activation functions are what give neural networks the power to learn complex, real-world patterns. In this video, we break down ...

Unravel the critical function of ReLU (Rectified Linear Unit) in Convolutional Neural Networks. This video breaks down how this ...

Ever wondered about the secret sauce behind powerful neural networks? This video breaks down the crucial differences between ...

Original Video: https://www.youtube.com/watch?v=pzOEx4x1EYw&list=PL0Vz403YCedh7XaXqJSS90ezoHAtRe_HU&index=3.

Title: The Role of Linear Layers in Nonlinear Interpolating Networks Speaker: Professor Rebecca Willett (University of Chicago) ...

MDLW01 | Prof. Johannes Schmidt-hieber | Convergence rates of deep ReLU networks for multiclass classification Speaker: ...

Welcome to Phase 2: Neural Networks. In this video, we move from Standard Statistics to Deep Learning. I explain how a ...

Writing a CUDA kernel requires a shift in mental model. Instead of one fast processor, you manage thousands of tiny threads.

This lecture introduces the ReLU (Rectified Linear Unit) and Leaky ReLU activation functions, which are among the most widely ...

What is an activation function and why is it so important in neural networks? In this video, you'll understand the concept of ...

... might use a variant like leaky relu that preserves some negative values but standard relu is the workhorse The sigmoid function ...

This is a omprehensive overview of neural network history and modern implementation using the Keras library. One section traces ...