Self-Supervised Learning
Author(s): Adeel Originally published on Towards AI. Machine Learning Predict everything from everything else Photo by Shirota Yuri on Unsplash Machine learning is broadly divided into supervised, unsupervised, semi-supervised, and reinforcement learning problems. Machine learning has enjoyed the majority of success by …
Neural Circuit Policies: Mimicking Biological models in AI for better reliability and interpretability.
Author(s): Rakesh Acharya Originally published on Towards AI. Technology Neural Circuit Policies: Mimicking Biological models in AI for better reliability and interpretability. An attempt to understand NCPs and how threadworms inspired a group of researchers from MIT, TU Wien, and IST Austria …
Object Detection at the Edge With TF Lite Model-maker
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Join Medium with my referral link – Konstantinos Poulinakis This member-only story is on us. Upgrade to access all of Medium. A comprehensive tutorial on object detection at the edge with Tensorflow Lite (TF …
Microsoft’s New Ideas About Generative Models
Author(s): Jesus Rodriguez Originally published on Towards AI. Optimus, FQ-GAN, and Prevalent bring new ideas to apply generative models at a large scale. This member-only story is on us. Upgrade to access all of Medium. Source: https://learnopencv.com/generative-and-discriminative-models/ I recently started an AI-focused …
2: Monitoring ML-OPS Guide Series
Author(s): Rashmi Margani Originally published on Towards AI. Machine Learning Concept Drift, Data Drift & Monitoring Fig: https://martinfowler.com/ ML System life cycle The most exciting moment of any machine learning system is when you get to deploy your model, but deploying becomes …
Image Classifier — Zalando Clothing Store using Monk Library
Author(s): Vidya Originally published on Towards AI. Computer Vision This tutorial is about image classification on the Zalando Clothing Store dataset using Monk Library. In this dataset, there are high-res, color, and diverse images of clothing and models. Tutorial available on GitHub. …
This AI Can Generate the Other Half of a Picture Using a GPT Model
Author(s): Louis Bouchard Originally published on Towards AI. A good AI, like the one used in Gmail, can generate coherent text and finish your phrase. This one uses the same principles in order to complete an image! All done in an unsupervised …
The Limits of Deep Learning
Author(s): Frederik Bussler Originally published on Towards AI. Deep Learning: Diminishing Returns? – Semiwiki Photo by Luca Ambrosi on Unsplash GPT-3, the latest state-of-the-art in Deep Learning, achieved incredible results in a range of language tasks without additional training. The main difference …
What is the practical impact?
Author(s): Francisco Utrera Originally published on Towards AI. We discovered a novel way to use adversarially-trained deep neural networks (DNNs) in the context of transfer learning to quickly achieve higher accuracy on image classification tasks — even when limited training data is …
Google Stock prediction using Multivariate LSTM Neural Network
Author(s): Michelangiolo Mazzeschi Originally published on Towards AI. Interpolation Not long ago I published a similar article on how to use LSTMs to make Stock predictions using a Vanilla Neural Network. Because I wanted to minimize the complexity of the problem, I …
NLP News Cypher | 07.26.20
Author(s): Ricky Costa Originally published on Towards AI. Photo by Will Truettner on Unsplash NATURAL LANGUAGE PROCESSING (NLP) WEEKLY NEWSLETTER NLP News Cypher U+007C 07.26.20 Primus The Liber Primus is unsolved to this day. A book of 58 pages written in Runes, …
History of Neural Networks! From Neurobiologists to Mathematicians
Author(s): Ali Ghandi Originally published on Towards AI. Deep Learning If you are familiar with Neural Networks and Deep learning, you might wonder what the relation between Neurons and the brain and these networks is. It seems they are based on some …
Building a Super-resolution Image Web-app
Author(s): Aanisha Bhattacharyya Originally published on Towards AI. In this article, we will build a web-app trained on the SRCNN model. The super-resolution web-app On giving an image as input, it reconstructs a higher resolution image of the same. I made this …
Machine Learning and Deep Learning — a Systematic Application
Author(s): Ranganath Venkataraman Originally published on Towards AI. TL/DR: regression offers improved performance over classification on the UCI Energy Efficiency dataset. A neural network regressor was no more effective than ensemble techniques like Gradient Boosting or Random Forest. Photo by Kevin Ku …
Diving Deep into Deep Learning
Author(s): Daksh Trehan Originally published on Towards AI. Deep Learning, Data Science An Unconventional Guide to Deep Learning We reside in a world, where we are constantly surrounded by deep learning algorithms be it for the good or worse cause. From the …
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