- @JohnDobbin Nice wording of a queston. Yes we do. https://t.co/bOBUOzAwmG
- @MakingmyselfMkm We are Intuition Machines. https://t.co/wwMVje4v0r
- @leonardkish @TexPine Indeed. Please read my book "Artificial Intuition". https://t.co/9rO3RZXyqr
- IMHO, if you don't understand intuition and its relationship to deep learning, then you aren't on the right path. https://t.co/MLjweGTGjc
- My journey into my explorations into general intelligence began with my book 'Artificial Intuition'. https://t.co/kg4BdMlOWP
- https://t.co/9rO3RZXyqr https://t.co/9DdXTgmjTt
- If you prefer a physical book, the you can find this at Amazon: https://t.co/bOBUOzAwmG .
- Glad to be one of the few people who kept saying that #deeplearning was an Intuition machine (i.e. System 1) several years ago. https://t.co/9rO3RZXyqr .
- @yudapearl A key building block towards empathy is intuition. Some (like Yoshua Bengio) would call this 'system 1' in the dual process theory framework: https://t.co/SGDqiYfRJu
- I'm glad I wrote a book about it two years ago: https://t.co/9rO3RZXyqr .
- @GaryMarcus @FelixHill84 @nutanc @geoffreyhinton But a word of caution. There are many problems in the domain of modern human problems that can't be solved using an S2 system. But solving AGI isn't one of those problems. AGI is completely an S1 problem and we have biological evidence that this is true. https://t.co/MLjweGTGjc
- Perhaps 95% of these books I haven't read when I wrote my first books https://t.co/HHvLHtJb36 and https://t.co/9rO3RZXyqr
I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook." The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives. So at the very least, you'll walk away with the ability to hold a very informative and impressive conversation about this unique subject. It's my hope that having less constraints on what I can express can lead to a more insightful and novel book. There are plenty of ideas that are either too general or too speculative to fit within a business oriented book. With a business book, you always want to manage expectations. Artificial Intelligence is one of those topics that you want to keep speaking in a conservative manner. That's one reason I felt the need for this book. Perhaps the freedom to be more liberal can give readers more ideas as where this field is heading. Also, it's not just business that needs to understand Deep Learning. We are all going to be profoundly impacted by this new kind of Artificial Intelligence and it is critical we all develop at least a good intuition of how it will change the world.The images in the front cover are all generated using Deep Learning technology.