Emoji Drawings dataset
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Updated
May 20, 2024 - Python
Emoji Drawings dataset
Load common open-source electrocardiogram databases as a tensorflow dataset
This project focuses on classifying images from the CIFAR-10 dataset using deep learning models. A custom CNN is built with TensorFlow, and transfer learning is applied using ResNet18 with PyTorch for improved performance. Data preprocessing and augmentation techniques are used to enhance model generalization.
Demo of data augmentation: a technique to increase the diversity of your training set by applying random (but realistic) transformations, such as image rotation
This repo consists a Python Notebook file where I have performed transfer learning using Keras Xception Transformer.
Loading, inspecting, and preprocessing datasets using TensorFlow Datasets (TFDS). Demonstrates train/test split handling, image normalization, batching, shuffling, caching, and visualization to build efficient, ready-to-train deep learning pipelines.
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