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66 results

Lera Andronova
Neural Networks Explained

Neural networks what are they and how do they work let's break it down imagine that you're teaching a computer to recognize ...

5:46
Neural Networks Explained

29 views

1 month ago

Benjamin Silberman
Neural networks by Ben silberman
14:09
Neural networks by Ben silberman

1 view

4 years ago

Selina Shrivastava
Chapter 3: Understanding Activation Functions | ReLU, Sigmoid & Softmax Simplified!

In this video, we take a deep dive into Activation Functions, the secret sauce that makes neural networks capable of learning ...

8:52
Chapter 3: Understanding Activation Functions | ReLU, Sigmoid & Softmax Simplified!

394 views

9 months ago

Anchal Soni lectures
Artificial Neural Network || Activation Function ||Types in Rts #rts  #machinelearning
6:01
Artificial Neural Network || Activation Function ||Types in Rts #rts #machinelearning

426 views

1 year ago

Taeyeon Kim
Liao Zhu's talk on JDSE 2023

Entropy Guided Pruning Algorithm for Reducing the Size of Deep Neural Networks Zhu Liao, Victor Quetu, Van-Tam Nguyen, ...

20:45
Liao Zhu's talk on JDSE 2023

30 views

2 years ago

Jeyakani P
Neural Network
31:26
Neural Network

46 views

1 month ago

Lera Andronova
Convolutional Neural Network to Recognize Handwriting

Let's build a machine learning model that can recognize your handwriting today we'll be building a convolutional neural network ...

6:33
Convolutional Neural Network to Recognize Handwriting

19 views

1 month ago

Estimation, Control, and Learning Laboratory
A Novel Neural Filter to Improve Accuracy of Neural Network Models of Dynamic Systems

This video features Parham Oveissi presenting his paper, “A Novel Neural Filter to Improve Accuracy of Neural Network Models of ...

19:21
A Novel Neural Filter to Improve Accuracy of Neural Network Models of Dynamic Systems

18 views

2 months ago

Selina Shrivastava
Chapter 4: Why Your Neural Network Fails — Understand Forward Propagation & Loss Like a Pro!

... Neural Network Fundamentals • AI Training Pipeline • What is Loss Function • Neural Network Output Explained • Forward Pass ...

10:41
Chapter 4: Why Your Neural Network Fails — Understand Forward Propagation & Loss Like a Pro!

200 views

8 months ago

Michael Kohler
Recording of the 7-th lecture on ''Statistical Theory for Deep Learning'' from May 8, 2024

And can you explain to me how I can compute this function H by a neural network with one hidden layer and relo activation.

1:30:55
Recording of the 7-th lecture on ''Statistical Theory for Deep Learning'' from May 8, 2024

102 views

1 year ago

Michael Kohler
Recording of the 16-th lecture ''Statistical Theory for Deep Learning'' from June 12, 2024

... present is the theorem of partlet and Coors about the wec dimension of sets of neural network with r activation function another ...

1:28:11
Recording of the 16-th lecture ''Statistical Theory for Deep Learning'' from June 12, 2024

53 views

1 year ago

Michael Kohler
Recording of the 6-th lecture ''Statistical Theory for Deep Learning'' from May 6, 2024

... some chump Parts in between and if you consider a deep neural network with relo activation function the relo activation function ...

1:31:33
Recording of the 6-th lecture ''Statistical Theory for Deep Learning'' from May 6, 2024

97 views

1 year ago

Michael Kohler
Recording of the 9-th lecture ''Statistical Theory for Deep Learning'' from May 15, 2024

... can find the neural network approximation the univ x to^ x s having R hidden layers nine neurons per layer R activation function ...

1:32:39
Recording of the 9-th lecture ''Statistical Theory for Deep Learning'' from May 15, 2024

120 views

1 year ago

Preethi J
19. #McCulloch Pitts neuron with solved ANDNOT example -Artificial Neural Networks

This video explains the McCulloch Pitts neuron with ANDNOT solved example. #mcculloch, #artificialneuralnetwork ...

11:18
19. #McCulloch Pitts neuron with solved ANDNOT example -Artificial Neural Networks

40,652 views

3 years ago

Interactive Intelligence
FALL '23 INTRO COURSE - Lecture 2: Deep Learning & Neural Networks

This is the Unit 2 lecture for the Fall 23 iteration of the Intro Neuro/AI course led by Interactive Intelligence @ the University of ...

1:06:21
FALL '23 INTRO COURSE - Lecture 2: Deep Learning & Neural Networks

148 views

2 years ago

Michael Kohler
Recording of the 22-th lecture ''Statistical Theory for Deep Learning'' from July 3, 2024

R either set of all feet forward neural. Networks. With of course REO activation function I don't answer this I have L. Layers I.

1:18:11
Recording of the 22-th lecture ''Statistical Theory for Deep Learning'' from July 3, 2024

90 views

1 year ago

Lera Andronova
Data Preprocessing for Machine Learning

... a box that many models and activation functions like to work with such as neural networks with the sigmoid and tan functions or ...

5:46
Data Preprocessing for Machine Learning

26 views

1 month ago

Preethi J
25. #Implement AND function using Perceptron | #machine learning perceptron algorithm

Implement AND function using perceptron network #implement and function using perceptron network #what is perceptron ...

18:18
25. #Implement AND function using Perceptron | #machine learning perceptron algorithm

24,555 views

2 years ago

Gaurav
Perceptron Explained

Unlock the basics of artificial intelligence with this quick explainer on perceptrons! ✨ Discover how this simple algorithm mimics ...

1:33
Perceptron Explained

14,216 views

5 months ago

Zenkayya
Activations & Gradients Explained: How Neural Networks Think and Learn.

Activations & Gradients Explained: How Neural Networks Think and Learn Ever wondered how a neural network decides and how ...

16:25
Activations & Gradients Explained: How Neural Networks Think and Learn.

118 views

8 months ago