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Building a Neural Network From Scratch Using Python (Part 2)
In the last post, you created a 2-layer neural network from scratch and now have a better understanding of how…
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Debugging Image Classifiers With Confusion Matrices
Introduction We often rely on scalar metrics and static plots to describe and evaluate machine learning models, but these methods…
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Compare Object Detection Models From TorchVision
Introduction Object detection is one of the most popular applications of machine learning for computer vision. A detection model predicts…
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An Introduction to Multimodal Models
Multimodal Learning seeks to allow computers to represent real world objects and concepts using multiple data streams. This post provides…
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Prompt Engineering
Introduction In just five days, ChatGPT managed to exceed one million users, a feat that took Netflix 3.5 years, Facebook…
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What is Reinforcement Learning in Machine Learning?
The machine learning method that most resembles human learning is reinforcement learning. In this article, learn about reinforcement learning, how…
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How Does Reinforcement Learning in AI Work?
Reinforcement learning in AI is a fascinating area of study that has garnered considerable interest in recent years. It simulates…
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Kangas 2.0: Exploratory Data Analysis for Computer Vision
Today, we’re excited to release version 2.0 of Kangas, our open-source platform for exploring, analyzing, and visualizing multi-media data. Whether…
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Credit Card Fraud Detection With Autoencoders
In this article, we’ll leverage the power of autoencoders to address a key issue for banks and their customers: credit…
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Machine Learning Trends and Challenges for 2023
Join us for Convergence a free, virtual ML Conference 2023 on March 7-8th, 2023! “With the rapid growth of data…
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Category: Machine Learning
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