My Notes On Profiling A Python Microservice Using py-spy And VS Code
Author(s): ___ Originally published on Towards AI. Overview This article is a follow up to my previous article [1] where I walked through my workflow to profile python code using VS Code. The application we wanted to profile was a chatbot and …
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 …
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 …
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 …
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 …
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