LinkedIn

Machine Learning: Multilayer Perceptron (MLP) for Regression

Hint: For regression, we use linear activations for output neurons. An MLP is demonstrated in the following figure: An MLP is composed of one input layer, one output layer, and one or more hidden ...
archive

Neural Networks for Machine Learning Coursera Video Lectures - Geoffrey Hinton

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Nature

Easy domain adaptation method for filling the species gap in deep learning-based fruit detection

Fruit detection and counting are essential tasks for horticulture research. With computer vision technology development, fruit detection techniques based on deep learning have been widely used in ...
Nature

AI for radiographic COVID-19 detection selects shortcuts over signal

Artificial intelligence (AI) researchers and radiologists have recently reported AI systems that accurately detect COVID-19 in chest radiographs. However, the robustness of these systems remains ...
Frontiers

Supervised Learning With First-to-Spike Decoding in Multilayer Spiking Neural Networks

Experimental studies support the notion of spike-based neuronal information processing in the brain, with neural circuits exhibiting a wide range of temporally-based coding strategies to rapidly and ...
Frontiers

Convolutional Neural Network for Skin Lesion Classification: Understanding the Fundamentals Through Hands-On Learning

Deep learning architectures for the classification of images have shown outstanding results in a variety of disciplines, including dermatology. The expectations generated by deep learning for, e.g., ...