https://github.com/khurramhashmi/cnn_cifar-10_keras-tensorflow
This repository is created solely for the intention of playing around with CIFAR10 dataset using different architectures to achieve optimal performance.
https://github.com/khurramhashmi/cnn_cifar-10_keras-tensorflow
cifar-10 cifar10 convolutional-neural-networks deep-learning keras keras-tensorflow tensorflow
Last synced: 3 months ago
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This repository is created solely for the intention of playing around with CIFAR10 dataset using different architectures to achieve optimal performance.
- Host: GitHub
- URL: https://github.com/khurramhashmi/cnn_cifar-10_keras-tensorflow
- Owner: khurramHashmi
- Created: 2019-04-12T14:33:18.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-04-12T16:19:33.000Z (over 6 years ago)
- Last Synced: 2025-04-04T17:21:25.586Z (6 months ago)
- Topics: cifar-10, cifar10, convolutional-neural-networks, deep-learning, keras, keras-tensorflow, tensorflow
- Language: Jupyter Notebook
- Size: 4.88 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# CNN_CIFAR-10_Keras-TensorFlow
This repository is created solely for the intention of playing around with CIFAR10 dataset using different architectures to achieve optimal performance. In order to achieve better accuracy, the dataset has been augmented as well as regularized. Code is quite trivial because Keras has been mainly used. The result achieved using the current network is almost 89% on 125 epochs.
## Usage
It's a simple python notebook executed on Google Collab. Feel free to use it as a base network and play around.
Happy Coding :)
## Prerequisites
-TensorFlow
-Keras
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
## Acknowledgement
Inspiration and direction has been taken from the following blog :
https://appliedmachinelearning.blog/2018/03/24/achieving-90-accuracy-in-object-recognition-task-on-cifar-10-dataset-with-keras-convolutional-neural-networks/