deeplizard demonstrates how to process numerical data that we’ll later use to train our very first artificial neural network in this video.
In this video, deeplizard discusses GPU support for TensorFlow and the integrated Keras API and how to get your code running with a GPU.
In this episode, deeplizard discusses the Keras integration with TensorFlow (tf.keras), compatibility requirements, and how to get Keras installed on your machine!
deeplizard has put together a course on how to use Keras.
In this course, we will learn how to use Keras, a neural network API written in Python! In this episode, we discuss the prerequisites required to start working with Keras, why Keras is a good library to learn, and what resources you’ll have available to ensure your success in this course.
Very often I am asked when (or whether) we will create a conscious AI.
I scratch my chin and ask “how would you define consciousness?”
The answer usually involves something about “self-awareness.”
I then point out that by that definition, your car is conscious as it has a “check engine light,” which is part of a self-diagnostic loop.
Usually, I point out that consciousness is a subjective phenomenon – it’s “I think, therefore I am” and not “You think, therefore you are.”
I am fascinated with noted physicist Michio Kaku’s explanation on why feedback loops create consciousness.
Dr. Michio Kaku is the co-founder of string field theory, and is one of the most widely recognized scientists in the world today. He has written 4 New York Times Best Sellers, is the science correspondent for CBS This Morning and has hosted numerous science specials for BBC-TV, the Discovery/Science Channel. His radio show broadcasts to 100 radio stations every week. Dr. Kaku holds the Henry Semat Chair and Professorship in theoretical physics at the City College of New York (CUNY), where he has taught for over 25 years. He has also been a visiting professor at the Institute for Advanced Study at Princeton, as well as New York University (NYU).
Big Think has a fascinating interview with Dr. Michio Kaku.
Dr. Michio Kaku is the co-founder of string field theory, and is one of the most widely recognized scientists in the world today. He has written 4 New York Times Best Sellers, is the science correspondent for CBS This Morning and has hosted numerous science specials for BBC-TV, the Discovery/Science Channel. His radio show broadcasts to 100 radio stations every week. Dr. Kaku holds the Henry Semat Chair and Professorship in theoretical physics at the City College of New York (CUNY), where he has taught for over 25 years. He has also been a visiting professor at the Institute for Advanced Study at Princeton, as well as New York University (NYU). He is the author of “The Future of Humanity: Terraforming Mars, Interstellar Travel, Immortality, and Our Destiny Beyond Earth” (https://amzn.to/2lQyjy4)
Dani, a game developer, recently made a game and decided to train an AI to play it.
A couple of weeks ago I made a video “Making a Game in ONE Day (12 Hours)”, and today I’m trying to teach an A.I to play my game!
Basically I’m gonna use Neural Networks to make the A.I learn to play my game.
This is something I’ve always wanted to do, and I’m really happy I finally got around to do it. Some of the biggest inspirations for this is obviously carykh, Jabrils & Codebullet!