Okay, so an RBM can extract features and reconstruct inputs…but how exactly does that help with the vanishing gradient? By combining RBMs together and introducing a clever training method, we obtain a powerful new model that finally solves our problem. Let’s now take a look at a Deep Belief Network.… Continue Reading Deep Belief Nets – Ep. 7 (Deep Learning SIMPLIFIED)

The training process. Basically we show it this gorilla. And we tell it actually, that’s not a school bus. It’s a gorilla, please network next time you see the picture, you should say gorilla a little bit more, as it trains that kind of move slowly around in different ways.… Continue Reading What is Machine Learning? | Uber AI Labs CoFounder Jason Yosinski

Progress is kind of skyrocketing. And this is due to a couple of factors. First, we have this like volume of computation that’s available. It’s much larger now than it used to be. There’s also data, more and more data available natural language processing and other other domains. And this… Continue Reading The Power of AI & Machine Learning | Uber AI Labs CoFounder Jason Yosinski

One of the questions that I get frequently is ‘how do you design a neural network’ or more specifically ‘how do you know how many layers you need to have’ or ‘how do you know what’s the right value for a particular hyperparameter’. First things first, if you are not… Continue Reading How to Design a Convolutional Neural Network | Lecture 8

Today I realized that it’s been a long time since I made the ‘how to design a convolutional neural network’ video. A lot has changed since then, but also a lot has stayed the same. So, in this video, we will talk about how to design a neural network in… Continue Reading How to Design a Neural Network | 2020 Edition

I’m gyanu chauhan and today in this video I’m about to announce multiple courses on my channel for free the courses sound like that data analysis, data visualizations machine learning deep learning artificial neural network artificial intelligence and guys blockchain and so guys the things that you you need have… Continue Reading free course announcement || channel updates || next level wala gyan

So what was it that allowed researchers to overcome the vanishing gradient problem? The answer to this question has two parts, the first of which involves a Restricted Boltzmann Machine. This is a method that can automatically find patterns in our data by reconstructing the input. Sounds complicated, but bear… Continue Reading Restricted Boltzmann Machines – Ep. 6 (Deep Learning SIMPLIFIED)

Dear Fellow Scholars, this is Two Minute Papers with Károly Zsolnai-Fehér. A neural network is a very loose model of the human brain that we can program in a computer, or it’s perhaps more appropriate to say that it is inspired by our knowledge of the inner workings of a… Continue Reading How Does Deep Learning Work? | Two Minute Papers #24

I think the most exciting technology breakthrough in the last few years has been the rise of the deep learning because with deep learning we can transform the healthcare system, agriculture to manufacturing to education to really almost every industry there is and there just aren’t enough people with the… Continue Reading Deep Learning Specialization by deeplearning.ai — Trailer