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Machine Learning magic! We are going through the whole pipeline step by step: data collection, model training & testing of an ...

... deep neural networks for image classification via information plane, deep convolutional neural networks for image classification ...

In this video we implemented CNN using Python. GITHub Link for this video code ...

NYU CS6923 Machine Learning Final Project For video of more clear resolution: see ...

This video demonstrates steps to convert large satellite images and annotated map / labeled data into small patches for deep ...

Build in-demand tech skills; Try Pluralsight FREE: https://pluralsight.pxf.io/Gjdy9m How to develop a Convolutional Neural ...

This video demonstrates how to train a deep neural network model with U-Net architecture for satellite image semantic ...

Tutorial on building Machine Learning API with FastAPI and Tensorflow for beginners. Learn to create Image recognition API ...

NeurIPS 2020 | Machine Learning and the Physical Sciences workshop | Poster session Paper ...

This is Part 1 in a series in which we create a convolutional neural network (CNN) in a spreadsheet. In this video, we teach the ...

Nowadays the surface of the earth is constantly being monitored by a multitude of airborne and satellite sensors that record a wide ...

Artificial Neutral Networks for Image Classification #neuralnetworks #linear_classification_vs_neural_networks ...

In this video we are constructing a Convolutional neural network to classify a image from webcam , whether it is an apple or ...

A recording from a training course I took on Coursera. "University of London: Machine Learning for All" This shows how I created ...

Simple Stacked CNN Architecture for face recognition. Prepared by: Aval Singh Supervised by: Dr. Abrar Qureshi.

Hi guys, this video is to explain how to perform breast cancer image classification using Convolutional Neural Neworks. The link to ...

In this video, Vishwanath Jha, Founder, CEO of Saarthi.ai talks about AI vs ML vs DL, the differences between AI ML and DL.

This talk addresses the problem of automatically analyzing aerial photos taken during World War II air strikes. The goal of this ...