A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
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Updated
Sep 1, 2020 - Jupyter Notebook
A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.
Emotion recognition with Keras library. Uses AffectNet dataset and valence-arousal labels. Implements CNN architecture with regression
The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication
Fish scales constitute a valuable source of information about individual life histories, but correctly extracting this information requires a highly skilled expert. Here, we train a deep convolutional neural network architecture EfficientNet B4 on a set of about 9000 salmon scale images, and show that it attains good performance on predicting a …
House price estimation from visual and textual features using both machine learning and deep learning models
This is my first project on Github
Facial key-points detection by using CNN model.
This project aims to enhance the quality of low-resolution images by mainly focusing on sharpening the edges of colors in the image; making them sharp and distinctly better quality with some improvement in the overall quality of the image. This will be achieved through Deep Learning.
A CNN Regression Model for Predicting Age from an Image
INTRA-HOUR SOLAR IRRADIANCE ESTIMATION USING INFRARED SKY IMAGES AND MOBILENETV2-BASED CNN REGRESSION
ENHANCING INTRA-HOUR SOLAR IRRADIANCE ESTIMATION THROUGH KNOWLEDGE DISTILLATION AND INFRARED SKY IMAGES
Finding key points on the face
Implementation of a convolutional neural network for regression and classification tasks
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