Scott Logic

NOVEMBER 24, 2023

I recently embarked on a journey into the world of machine learning through following the fast.ai I have learnt a great deal about the inner workings of neural networks and how deep learning can produce seemingly magical results. Two more modern models are neural networks/deep learning and gradient boosters.

Datasets 52

Datasets Machine Learning Deep Learning Medical 52

Zalando Engineering

SEPTEMBER 26, 2017

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. Efros et al.

Deep Learning 40

Deep Learning Machine Learning Datasets Algorithm 40

ProjectPro

FEBRUARY 28, 2022

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. Follow the steps below to prepare the data for deep learning models ’ applications.

Coding 52

Coding Project Deep Learning Datasets 52

ProjectPro

DECEMBER 17, 2021

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. This challenge is about implementing deep learning object detection models over the thousands of images collected by the underwater camera.

Data Science 52

Data Science Medical Machine Learning Datasets 52

Zalando Engineering

DECEMBER 14, 2015

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.,

Algorithm 40

Algorithm Deep Learning Data Science Architecture 40

ProjectPro

NOVEMBER 8, 2021

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 also use the openCV functions for SURF: surf = cv2.xfeatures2d.SURF_create()

Algorithm 52

Algorithm Medical Datasets Python 52

ProjectPro

JANUARY 15, 2021

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. million diagnosed breast cancer cases in 2018.

Machine Learning 40

Machine Learning Datasets Retail Banking 40