In this post, we go through the Wide Residual Neural Networks paper. We go through the theory, architecture, experiments, and results of the Wide ResNets. ...
Wide Residual Neural Networks – WRNs: Paper Explanation
Computer Vision in AI encompasses various tasks including classical computer vision, deep learning based image classification, image classification, object detection etc.
In this post, we go through the Wide Residual Neural Networks paper. We go through the theory, architecture, experiments, and results of the Wide ResNets. ...
In this post, we train a PyTorch MobileNetV3 large model for Rice Leaf Disease Classification using Deep Learning ...
In this post, explore how to carry out template matching using OpenCV with cv2.matchTemplate in images and videos. ...
In this post, we explore faster image augmentation using TensorFlow Keras layers on GPU. ...
In this post, we explore how to carry out transfer learning and fine-tuning an EfficientNetB0 model to classify brain MRI images. ...
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