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Computer Vision: Algorithms and Applications to Explore in 2023

ProjectPro

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

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Facial Emotion Recognition Project using CNN with Source Code

ProjectPro

One can easily build a facial emotion recognition project in Python. In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, the goal is to use phase-contrast microscopy images and detect the neuronal cells with a high level of accuracy through deep learning algorithms.

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100+ Machine Learning Datasets Curated For You

ProjectPro

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Why you need machine learning datasets?

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Accelerating Warehouse Operations with Neural Networks

Zalando Engineering

Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. The core idea is to use deep learning to create a fast, efficient estimator for a slow and complex algorithm.