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https://github.com/angeligareta/deep-learning-basics-tf
Deep Learning basics with Tensorflow and Keras. It includes implementing deep neural networks, feed-forward neural networks, convolutional neural networks, and a traffic sign detection system, using GTSDB and CIFAR dataset.
https://github.com/angeligareta/deep-learning-basics-tf
cifar100 cnn cnn-classification cnn-keras dnn ffnn gtsdb gtsdb-dataset keras tensorflow
Last synced: about 2 months ago
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Deep Learning basics with Tensorflow and Keras. It includes implementing deep neural networks, feed-forward neural networks, convolutional neural networks, and a traffic sign detection system, using GTSDB and CIFAR dataset.
- Host: GitHub
- URL: https://github.com/angeligareta/deep-learning-basics-tf
- Owner: angeligareta
- License: mit
- Created: 2021-02-23T18:44:43.000Z (almost 4 years ago)
- Default Branch: master
- Last Pushed: 2021-02-23T20:11:12.000Z (almost 4 years ago)
- Last Synced: 2023-03-08T08:47:58.409Z (almost 2 years ago)
- Topics: cifar100, cnn, cnn-classification, cnn-keras, dnn, ffnn, gtsdb, gtsdb-dataset, keras, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 9.53 MB
- Stars: 0
- Watchers: 1
- Forks: 3
- Open Issues: 0