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Stitch it in Time: Facial Editing of Real Videos
Author(s): Louis Bouchard Originally published on Towards AI. AI-based face manipulations in high-quality talking head videos Originally published on louisbouchard.ai, read it 2 days before on my blog! You’ve most certainly seen movies like the recent Captain Marvel or Gemini Man where …
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 …
Which Voice Skills will Rock in the Very Near Future?
Author(s): Anna Prist Originally published on Towards AI. Diving Into the Voice Assistant Ecosystem U+007C Towards AI Which Voice Skills will Rock in the Very Near Future? Global Conversational AI Market is expected to rise to more than $27.08 billion by 2026. …
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) …
Association Discovery — the Apriori Algorithm
Author(s): Dhilip Subramanian Originally published on Towards AI. Top highlight Market Basket Analysis in Data Science U+007C Towards AI Association discovery is commonly called Market Basket Analysis (MBA). MBA is widely used by grocery stores, banks, and telecommunications among others. Its results …
Understanding Multi-Label classification model and accuracy metrics
Author(s): Avishek Nag Originally published on Towards AI. The theory behind the multi-label/multi-tagging model, different umbrella classification schemes and accuracy metric analysis Classification techniques probably are the most fundamental in Machine Learning. The majority of all online ML/AI courses and curriculums start …
Multi-Label Text Classification Using Scikit-multilearn: a Case Study with StackOverflow Questions
Author(s): Avishek Nag Originally published on Towards AI. Designing a multi-label text classification model which helps to tag stackoverflow.com questions with different topics Everyday users of stackoverflow.com posts many technical questions and all those get tagged with different topics. In this article, …
HAC: Learning Multi-Level Hierarchies with Hindsight
Author(s): Sherwin Chen Originally published on Towards AI. Hindsight experience replay for multi-level hierarchies the 4-level HAC agent on the inverted pendulum We discuss a novel Hierarchical Reinforcement Learning(HRL) framework that can efficiently learn multiple levels of policies in parallel. Experiments shows, …
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