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All Blog Posts Tagged 'Convolutional' (4)

Machine Learning on Mobile: An On-device Inference App for Skin Cancer Detection

Mobile health (mHealth) is considered one of the most transformative drivers for health informatics delivery of ubiquitous medical applications. Machine learning has proven to be a powerful tool in classifying medical images for detecting various diseases. However, supervised machine learning requires a large amount of data to train the model, whose storage and processing pose considerable system requirements challenges for mobile applications. Therefore, many studies focus on…

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Added by AI on August 16, 2019 at 6:00am — No Comments

[New] Handbook of Deep Learning Applications (Springer)

This book presents a broad range of deep-learning applications related to vision, natural language processing, gene expression, arbitrary object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain–computer interfaces, big data processing, hierarchical deep learning networks as game-playing artifacts using regret matching, and building GPU-accelerated deep learning frameworks. Deep learning, an advanced level of machine learning technique…

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Added by Sanjiban Sekhar Roy on March 1, 2019 at 11:30pm — No Comments

Convolutional Neural Network  (CNN) From Scratch

Introduction

In a regular neural network, the input is transformed through a series of hidden layers having multiple neurons. Each neuron is connected to all the neurons in the previous and the following layers. This arrangement is called a fully connected layer and the last layer is the output layer. In Computer Vision applications where the input is an image, we use convolutional neural network…

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Added by Muhammad Rizwan on September 24, 2018 at 3:00pm — No Comments

Self-learning Machines & Deep Convolutional Neural Networks Classify Scenes & Identify Objects

Recent research using deep convolutional neural networks and new system architectures have demonstrated the ability of smart machines to autonomously learn to classify image scenes and identify…

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Added by Michael Walker on May 16, 2015 at 2:38pm — 1 Comment

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