Categories deep-learning

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Difference between AI, Machine Learning and Deep Learning

The concept of artificial intelligence (AI) is definitely not a new one. For most of us, our first encounter was through the science fiction (Sci-fi) movies. We have been gripped by The Terminator series, The Matrix, I. Robot, Ex Machina, all depicting the amazing imagination of humans to innovate and […]

Fighting Cancer with Artificial Intelligence

Cutaneous anaplastic large cell lymphoma (ALCL) By L. Wozniak & K. W. Zielinski — Own work, CC BY-SA 3.0 Fighting Cancer with Artificial Intelligence: Part 0 — Deep Learning This August, I heard the words that no one wants to hear from their doctor: “You have cancer.” I was diagnosed with a rare non-Hodgkin’s lymphoma. After […]

AI for Dinosaurs

Knowing a little about everything is often better than having one expert skill. This is particularly true for people entering the debate in emerging markets. Most notably, tech. Most folks think they know a little about AI. But the field is so new and growing so fast that the current experts […]

Understanding Few-shot intelligence as a Meta-Learning Problem

Meta learning is learning to learn. Usually applied for hyperparameter tuning, recent applications have started focussing on few-shot learning. Before we explore two novel techniques to achieve this, lets understand some key aspects of the problem. As a guiding example, we will focus on our ability to grasp new words […]

We Gave Privacy Policies an AI Overhaul, and You’ll Never Have to Read Them Again!

Summary: This is the backstory of how we built pribot.org. There is a Wired article about the project already. This article provides our backstory of what went behind the scenes. Whenever someone asks me what I work on, I find nothing better than a single link to a YouTube series of […]

Machine Learning Top 10 Articles for the Past Month (v.Feb 2018)

For the past month, we ranked nearly 1,400 Machine Learning articles to pick the Top 10 stories that can help advance your career (0.7% chance). Quote of the month. By David Robinson [See: Rank 10] Topics in this list: Google Brain, AlphaGo, Generating Wikipedia, Matrix Calculus, Global Optimization Algorithm, Tensorflow Project Template, […]

Convolutional Neural Networks For All | Part II

The mentor-curated study guide to summarize all lectures from the Coursera Deep Learning Specialization course 4 If you’re not a Deep Learning expert, chances are that the Coursera Convolutional Neural Networks course kicked your behind. So much information, so many complex theories covered in such a short time! Countless times pausing […]

Why Deep Learning Needs Standards for Industrialization

I was recently was posed the question, “how do we define standards for AI?” I am primarily focused in the space of Deep Learning Artificial Intelligence (AI). Deep Learning is a specific set of tribes in a much wider umbrella of what is known as AI. Source: https://medium.com/intuitionmachine/the-many-tribes-problem-of-artificial-intelligence-ai-1300faba5b60 The term Artificial […]

Only Numpy: Implementing Simple ResNet ( Deep Networks with Stochastic Depth) for MNIST…

Only Numpy: Implementing Simple ResNet ( Deep Networks with Stochastic Depth) for MNIST Classification with Interactive Code Image from Pixel Bay So I was reading this article “Stochastic Depth Networks will Become the New Normal” and there I saw the paper “Deep Networks with Stochastic Depth”. Upon reading that paper I […]