Remove 2001 Remove Coding Remove Deep Learning
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Facial Emotion Recognition Project using CNN with Source Code

ProjectPro

In 2001, researchers from Microsoft gave us face detection technology which is still used in many forms. With modern deep learning techniques, we have advanced to detect difficult things like smiles, eyes, and emotions. This article will discuss the source code of a Facial Expression Recognition Project in Python.

Coding 52
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A State-of-the-Art Method for Generating Photo-Realistic Textures in Real Time

Zalando Engineering

2017] ) papers at world-class machine learning conferences, and the source code ( SGAN and PSGAN ) to reproduce the research is also available on GitHub. State-of-the-art in Machine Learning It’s all over town. Machine learning, and in particular deep learning, is the new black. 2001] Alexei A.

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A Collection of Take-Home Data Science Challenges for 2023

ProjectPro

The second category has challenges with solution code. 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. Two Sigma Investments is a firm implementing data science tools over datasets for predicting financial trade since 2001.

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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. 3 (May - Jun.,

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100+ Machine Learning Datasets Curated For You

ProjectPro

Download MVTec D2S Retail Dataset for Machine Learning Computer Vision Project Ideas using the MVTec D2S Dataset This retail dataset can be used for semantic image segmentation to cover the real-world application of an automatic checkout, warehouse, or stock inventory system. Want to develop your data science and machine learning skills?

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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. You can use the sklearn.cluster.MeanShift from python sci-kit learn library to implement a mean shift algorithm.