Intuition Machine

Deep Learning Patterns, Methodology and Strategy

21,813 14 Followers
Carlos E. Perez

Author of Artificial Intuition and the Deep Learning Playbook —

Saurabh Mishra

Investment & Management Strategist | Economist | ML & AI Scientist | Reliability Engineer | Advisor to Startups and VC/Hedge Funds

Latest Posts

10 Predictions for Deep Learning in 2019

The year 2018 is ending and its now time for a new set of Deep Learning predictions for 2019. Here are my previous predictions and…

12 Blind Spots in AI Research

Humans by their nature have many cognitive biases. This becomes detrimental toward real scientific progress when we are biased towards…

What Deep Learning can Learn from Cybernetics

“Progress, far from consisting in change, depends on retentiveness. When change is absolute there remains no being to improve and no…

Deep Learning, Semiotics and Why Not Symbols

Semiotics is the study of signs and their use and interpretation. Any study of cognition, whether that be biological or artificial…

Deep Learning: Perturbations and Diversity is All You Need

Judea Pearl in a recent tweet expresses intractable nature of generative processes:

Why Stylistic GANs are So Deceptive

NVidia shocked the world again by its release of A Style-Based Generator Architecture for Generative Adversarial Network (GAN). A year…

Nano-Intentionality and Deep Learning

It’s an established fact that biological cognition is fundamentally based on swarm intelligence. Michael Levin drives this fact home with…

Bypassing the Agent Alignment Problem via Intrinsic Motivation

One curious coincidence is that the phrase “Deep Learning” is used in two apparently different fields of study. The one that I am familiar…

The 5 Kinds of Problems where Deep Learning is Applicable

What’s not apparent to many practitioners and researchers in Deep Learning is that the rich variety of methods developed over the past…

2018 Retrospective on 10 Deep Learning Predictions

We are very quickly nearing the end of 2018. As I have done in previous years, this is a retrospective of my prediction for Deep Learning…


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