Let’s Learn: Neural Nets #3 — Activation Functions
Author(s): Bradley Stephen Shaw Originally published on Towards AI. A beginner’s guide to activation functions in neural nets. Photo by Antoine Dautry on Unsplash Today we’ll be looking at activation functions in neural nets — the who, what, where, and why of …
Myers-Briggs 16 Personality Types
Author(s): Viridiana Romero Martinez Originally published on Towards AI. When I was in college, I used to watch Gilmore Girls, an American comedy-drama series created by Amy Sherman-Palladino, starring Lauren Graham and Alexis Bledel. I watched the 7 seasons, plus the sequel …
Oriented FAST and Rotated BRIEF (ORB)
Author(s): Garima Nishad Originally published on Towards AI. So first let’s get a general idea about what it does & how it works. Then we’ll see both of these algorithms separately i.e. FAST and BRIEF. Fast and brief, are a feature detection …
TensorFlow to CoreML Conversion and Model Inspection
Author(s): Mirek Stanek Originally published on Towards AI. Converting TF models to CoreML, an iOS-friendly format This post was originally published at thinkmobile.dev — a blog about implementing intelligent solutions in mobile apps (link to article). While TensorFlow Lite seems to be …
Prediction of Relative Locations of CT Slices in CT Images
Author(s): Avishek Nag Originally published on Towards AI. Predicting the relative location of CT slices on the axial axis of the human body using regression techniques on very high-dimensional data Regression is one of the most fundamental techniques in Machine Learning. In …
How to Run an Android Application from the Command Line!
Author(s): Garima Nishad Originally published on Towards AI. Android, Programming Image Courtesy: Google Have you ever got tired of having low RAM on your PC while using IDE?or? Have you ever wanted to run a single script and run all of your …
A few key points…
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Using matrix algebra… Hello World, ever wondered how your favourite Machine Learning algorithms actually work? Let’s see how a Multiple Linear Regression(MLR) model computes the ideal parameters, given the features matrix (X) and …
An Intuitive Introduction to Document Vector(Doc2Vec)
Author(s): Manish Nayak Originally published on Towards AI. Intro to Doc2Vec U+007C Towards AI Introduction Doc2Vec is an extension of Word2vec that encodes entire documents as opposed to individual words. You can read about Word2Vec in my previous post. Doc2Vec vectors represent …
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Author(s): Sherwin Chen Originally published on Towards AI. Beyond Hierarchical Reinforcement learning with Off-policy correction(HIRO) This is the second post of the series, in which we will talk about a novel Hierarchical Reinforcement Learning built upon HIerarchical Reinforcement learning with Off-policy correction(HIRO) …