Tag: deep learning

Artificial Neural Networks: Going Deeper | Lecture 3

Artificial Neural Networks: Going Deeper | Lecture 3

Welcome back! In the previous video, we talked about what artificial neural networks are and how to train a single neuron. If you haven’t watched the previous video yet, find the link in the description below. In this video, we will pick up where we left off and talk about how to train deeper and …

Generative Adversarial Networks | Lecture 13

Generative Adversarial Networks | Lecture 13

Many of the examples we had in this series so far were discriminative models. Sometimes we need models that can not only recognize what’s in the input but also generate new samples. Such models are called generative models. A discriminative model, such as a model that recognizes cat and dog pictures, wouldn’t be able to …

Adversarial Attacks on Neural Networks – Bug or Feature?

Adversarial Attacks on Neural Networks – Bug or Feature?

Dear Fellow Scholars, this is Two Minute Papers with Károly Zsolnai-Fehér. This will be a little non-traditional video where the first half of the episode will be about a paper, and the second part will be about…something else. Also a paper. Well, kind of. You’ll see. We’ve seen in the previous years that neural network-based …

What are Convolutional Neural Networks (CNN / Convnets)

What are Convolutional Neural Networks (CNN / Convnets)

Hello everyone, welcome to the semicolon. In this tutorial we will be learning about convolutional neural networks Convolutional neural networks are type of feed forward neural networks neural networks much like the artificial neural networks. They work best with images or image like data. now the problem with artificial neural networks with images is, the …

Distilling Neural Networks | Two Minute Papers #218

Distilling Neural Networks | Two Minute Papers #218

Dear Fellow Scholars, this is Two Minute Papers with Károly Zsolnai-Fehér. Since the latest explosion in AI research, virtually no field of science remains untouched by neural networks. These are amazing tools that help us solve problems where the solutions are easy to identify, but difficult to explain. For instance, we all know a backflip …

Deep Learning(CS7015): Lec 4.1 Feedforward Neural Networks (a.k.a multilayered network of neurons)

Deep Learning(CS7015): Lec 4.1 Feedforward Neural Networks (a.k.a multilayered network of neurons)

So, welcome to lecture 4 of CS7015, the course on deep learning. Today, we will talk about ah feed forward neural networks and back propagation. So, quick ah recap of the story. So, far it, so, we started with mp neurons, ah. We saw there were some problems with the mp neurons. They could handle …

Artificial Neural Networks Demystified | Lecture 2

Artificial Neural Networks Demystified  | Lecture 2

The first time I heard about neural networks I was 11 or something. I saw an article on a popular tech magazine that said scanners now use neural networks to recognize characters. Naively, I thought they utilized actual biological neurons. When I told my mom about it she said if they use anything biological then …

Creating and Training a Generative Adversarial Networks (GAN) in Keras (7.2)

Creating and Training a Generative Adversarial Networks (GAN) in Keras (7.2)

Hi this is Jeff Heaton, welcome to Applications of Deep Neural Networks, with Washington University. In this video we’re going to look at how to actually implement a GAN in Keras. We’ll do the usual face generator and recognizer combination and see how realistic looking of faces that we can generate with a GAN. For …

Neural Networks – Erol Gelenbe / Serious Science

Neural Networks – Erol Gelenbe / Serious Science

We can think of neural networks as being a very new topic. In fact, it isn’t: it’s a fairly old one. In fact the first neural network research goes back to the end of the 19th century. There are several examples of this work and there were the first Nobel Prizes in this area which …

Teaching convolutional neural networks to give me friends

Teaching convolutional neural networks to give me friends

Hey guys, so this is—no joke—a list of all my real life friends, but the problem is just that- they’re kind of ugly. [ Illuminati Music ] Since I have such ugly friends and since computers are so darn powerful why don’t I just have my computer generate prettier friends? That means the goal is …