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The Basics of Recurrent Neural Networks (RNNs)
Author(s): Ben Khuong Originally published on Towards AI. Top highlight Machine Learning Table of contents What are RNNs used for? What are RNNs and how do they work? A trivial example — forward propagation, backpropagation through time One major problem: vanishing gradients …
Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Originally published on Towards AI. Top highlight Machine Learning, Programming, Python Update: I am overwhelmed by the positive feedback this writeup has received, especially by people in the AI community I look up to. I am also grateful to …
Computer Vision with fast.ai
Author(s): Dhairya Kumar Originally published on Towards AI. Building and Deploying an Image Classifier U+007C Towards AI Build and deploy an image classifier using fast.ai and Render Computer vision is ubiquitous and it has tons of real-life applications like object detection, face …
Artificial Intelligence
Author(s): Dhairya Kumar Originally published on Towards AI. Intro to Machine Learning, No Math Involved U+007C Towards AI Demystifying Machine Learning A gentle introduction to the scientific field of machine learning with no math involved Machine learning is one of the most …
Introduction
Author(s): Manish Nayak Originally published on Towards AI. An Introduction to Pix2Pix cGANs U+007C Towards AI Pix2Pix Network, An Image-To-Image Translation Using Conditional GANs (cGANs) Pix2Pix network is basically a Conditional GANs (cGAN) that learn the mapping from an input image to …
Building a Recommender System With Pandas
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Full Guide to Build a Recommender System U+007C Towards AI Hello World, in just a few minutes, I’d show you some pretty effective ways to use Pandas for Data Science. I assume you …
Stacking Results: Alibaba Improves Search Services for Online Shoppers
Author(s): Alibaba Tech Originally published on Towards AI. Academic Alibaba, WWW Series U+007C Towards AI Experimenting with hierarchical reinforcement learning to obtain remarkable results on customer satisfaction This article is part of the Academic Alibaba series and is taken from the WWW …
What is K-Fold Cross Validation?
Author(s): Saikat Biswas Originally published on Towards AI. Image Source: Unsplash K-Fold Cross Validation U+007C Towards AI Importance of K-Fold Cross Validation in Machine Learning One of the most important steps before feeding the data to our model Right before we proceed …
Step 4: Logistic regression
Author(s): Rashmi Margani Originally published on Towards AI. Blending NB And SVM U+007C Towards AI Naive Bayes(NB)-Support Vector Machine(SVM): Art Of State Result Hands-On Guide using Fast.ai SVM with NB feature: State of art performance model variance Before getting into Model variant …
AI Assistants — Jarvis vs. HAL
Author(s): Dan Lovy Originally published on Towards AI. Copyright Marvel Studios and Stanley Kubrick A Battle of AI Assistants U+007C Towards AI A look at what makes a great AI assistant and a test project Written by Dan Lovy, Jonathan B, Briana …
Understanding The simple Mathematics Behind Simple Linear Regression
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. How to verify if a Linear Relationship exists between two variables. Not a lot of people like Maths and for good reasons. I’m not exactly fond of it, but I try to keep …
Mumbai vs. Delhi, What is Your Choice? Let the Data Decide!
Author(s): Sreelatha S Originally published on Towards AI. Data Science Storytelling for comparing two cities U+007C Towards AI Data analysis of various factors for two cities like food, venues to visit, etc Photo by Parth Vyas on Unsplash Mumbai and Delhi are …
Attention Please: Document Classification
Author(s): Jon-Ross Presta Originally published on Towards AI. Top highlight The current state of Deep Learning practices is fascinating to me because there are interesting likenesses between the way that we humans process images and text, and the algorithms we employ to …
Face Aging Using Conditional GANs
Author(s): Manish Nayak Originally published on Towards AI. Age-cGANs Explained U+007C Towards AI An Introduction to Age-cGANs Introduction Conditional GANs (CGANs) are extensions of the GANs model. You can read about Conditional GANs in my previous post here. In this post, I …
Visual Perception-From Human Vision to Computer Vision
Author(s): Ranjeet Singh Originally published on Towards AI. A brief about the inspiring ideas from human cognition Made up of 140 million neurons, the human visual cortex is one of the most mysterious parts of the brain responsible for processing and interpreting …
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