Classification of flowers from Oxford Flowers 102 dataset
Generating real life images from textual description using DCGANs
Transfer learning using a pretrained resnet50 on the oxford flowers 102 dataset (fellowship ai cv challenge)
A Tensorlfow deep learning project to recognize different species of flowers
A deep learning notebook focused on classifying flowers from the Oxford Flower Dataset. By leveraging transfer learning with VGG16, DenseNet121, and InceptionV3, Floranet explores techniques like layer freezing and data augmentation to achieve high classification accuracy with minimal error.
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