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15,921 results
The ReLU activation function is one of the most popular activation functions for Deep Learning and Convolutional Neural ...
355,637 views
5 years ago
What is the relu activation function used in artificial neural networks? To gain early access to the full Deep Learning Dictionary ...
54,998 views
3 years ago
... new activation function (swish): https://arxiv.org/pdf/1710.05941v1.pdf [6] Used an Image of activation functions from this Pawan ...
151,145 views
Resources: This video is a part of my course: Modern AI: Applications and Overview ...
3,513 views
1 year ago
Get your Free Token for AssemblyAI Speech-To-Text API ...
81,892 views
4 years ago
What are the neurons, why are there layers, and what is the math underlying it? Help fund future projects: ...
21,893,517 views
8 years ago
Take the Deep Learning Specialization: http://bit.ly/2IcuTOr Check out all our courses: https://www.deeplearning.ai Subscribe to ...
104,713 views
Take the Deep Learning Specialization: http://bit.ly/32IxMzO Check out all our courses: https://www.deeplearning.ai Subscribe to ...
104,464 views
This video describes how the non-linearity of activation function helps in solving problems which would otherwise not be solvable ...
2,776 views
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: ...
4,372 views
3 days ago
In this video I discuss about why the ReLU activation function is more popular in deep neural networks than other activation ...
4,054 views
This video provides a complete breakdown of SwiGLU, explaining why it has become the standard in state-of-the-art Transformer ...
1,459 views
3 months ago
In this video, we'll be discussing what activation functions are, what they do, and how they work. I'll also explain types of activation ...
986 views
This video explains why Rectified Linear Unit (ReLU) is required on CNN? i.e. it tells about the importance of ReLU Layer on CNN ...
32,619 views
ActivationFunctions #ReLU #Sigmoid #Softmax #MachineLearning Activation Functions in Neural Networks are used to contain ...
132,458 views
If we stack thousands of layers of neurons without activation functions, what do we get? We get a single linear regression model.
1,139 views
3 weeks ago
Continuing Tutorial II for Physics of Language Models (re-uploaded for optimized video). We often trust large-scale results simply ...
1,505 views
8 days ago
Building Neural Networks from scratch in python. This is the fifteenth video of the course - "Neural Networks From Scratch".
8,456 views
... of ReLU activation function. Course Playlist: https://www.youtube.com/playlist?list=PL1u-h-YIOL0u7R6dg_d5O5M9HUj0SFjHE ...
1,334 views
Building Neural Networks from scratch in python. This is the ninth video of the course - "Neural Networks From Scratch".
2,151 views
Do you know how neural networks transform data? Let's break it down! Consider a neural network with two input neurons, ...
6,995 views
After going through this video, you will know: 1. What are the basics problems of Sigmoid and Threshold activation function? 2.
166,496 views
6 years ago
... we learn why we need activation functions in neural networks. ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ Programming Books ...
10,421 views
👉Subscribe to our new channel:https://www.youtube.com/@varunainashots Subject-wise playlist Links ...
40,812 views
10 months ago
In artificial neural networks, each neuron forms a weighted sum of its inputs and passes the resulting scalar value through a ...
131,037 views
ReLU Leaky ReLU Parametric ReLU Activation Functions Solved Example in Machine Learning by Mahesh Huddar The following ...
30,482 views
2 years ago
This is part 2 of the Activation Function Series. In this video, we will discuss the dying relu problem and then learn about the ...
68,326 views
As like always Let's check out how relu function works with real time plot. In this video I have explained about problem's dealing ...
5,966 views
In this video we explain the various ReLU activation function variants including: Leaky ReLU (LReLU), Parametric ReLU (PReLU), ...
5,713 views
Activation functions (step, sigmoid, tanh, relu, leaky relu ) are very important in building a non linear model for a given problem.
309,688 views
