deep learning

Deploying a Deep Learning Skin Classification App to Google Cloud

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A Step-by-Step Guide In this guide, we’ll walk you through the process of deploying a deep learning skin classification application to Google Cloud Run. Cloud Run is a fully managed platform that automatically scales your containerized applications, making it an ideal choice for deploying machine learning models. Whether you’re a data scientist or a developer, …

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Skin Cancer Classification Web App, Docker, and Azure Cloud

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In this comprehensive blog, we will walk you through the process of creating and deploying a Deep Learning-based image classification project. We will focus on classifying skin cancer images into benign and malignant categories using modern technologies. The journey will cover training a deep learning model, building a Flask web application, managing version control with …

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Traffic Sign Classification with 47 Classes: A Deep Learning Journey

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[Introduction] Traffic signs are everywhere on our roads, ensuring safety and efficient traffic flow. But what if we could teach a computer to understand and interpret these signs, just like humans do? That’s exactly what we’re going to explore in this video. [Project Overview] In this project, we trained a deep learning model to classify …

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Difference between AI, Data Science, ML, and DL

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Difference between Artificial intelligence, Data Science, Machine Learning, and Deep Learning Artificial intelligence: Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. These machines are trained to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language …

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Convolutional Neural Network In Python

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A convolutional neural network (CNN) is a type of deep learning model that is commonly used for image classification and other tasks that involve analyzing visual data. CNNs are composed of multiple layers, including convolutional layers, pooling layers, and fully connected layers. The convolutional layers of a CNN are responsible for extracting features from the …

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Face mask detection Gender Age prediction

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As I mentioned in my previous blog, face mask detection uses deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two categories (face mask and no face mask). For this purpose, first, we trained the deep learning CNN model (MOBILE NET) using the facemask …

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Realtime facemask detection | 100% accurately

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Facemask detection using deep learning techniques. In this blog, you will learn how to accurately detect the face mask and classify it into two classes (face mask and no face mask). For this purpose First, we trained the deep learning CNN model(Resnet) using the facemask dataset. After training the model, we used that model with …

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