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Getting started with Deep Learning? Here’s a quick guide explaining everything at a place!

Analytics Vidhya

In this blog, I’ll provide a brief rundown of. The post Getting started with Deep Learning? Here’s a quick guide explaining everything at a place! ArticleVideo Book This article was published as a part of the Data Science Blogathon. appeared first on Analytics Vidhya.

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NeRFs Explained: Goodbye Photogrammetry?

PyImageSearch

Home Table of Contents NeRFs Explained: Goodbye Photogrammetry? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Steps Next Steps Citation Information NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work?

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Photogrammetry Explained: From Multi-View Stereo to Structure from Motion

PyImageSearch

This blog post is the 1st of a 3-part series on 3D Reconstruction: Photogrammetry Explained: From Multi-View Stereo to Structure from Motion (this blog post) 3D Reconstruction: Have NeRFs Removed the Need for Photogrammetry? To learn about 3D Reconstruction, just keep reading. So how does that work? Have you felt it?

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AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the difference?

IBM Journey to AI blog

While artificial intelligence (AI), machine learning (ML), deep learning and neural networks are related technologies, the terms are often used interchangeably, which frequently leads to confusion about their differences. This blog post will clarify some of the ambiguity. Machine learning is a subset of AI.

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Explainability and Interpretability

Pickl AI

Summary: This blog post delves into the importance of explainability and interpretability in AI, covering definitions, challenges, techniques, tools, applications, best practices, and future trends. It highlights the significance of transparency and accountability in AI systems across various sectors.

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Most Important Deep Learning Interview Questions For You

Pickl AI

Summary: This guide covers the most important Deep Learning interview questions, including foundational concepts, advanced techniques, and scenario-based inquiries. Gain insights into neural networks, optimisation methods, and troubleshooting tips to excel in Deep Learning interviews and showcase your expertise.

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A simple Introduction to Multilayer Perceptron and Autoencoder for Estimating Used Car Prices with Deep Learning for Beginners

Towards AI

comparison method, cost approach or expert evaluation), machine learning and deep learning models offer new alternatives. In this article, I will give you a simple 10-minute introduction to the most important deep learning models that are frequently used in recent research (see reference) to predict the prices of used cars.