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To get started Image Classification with tensorflow I implemented basic neural network which classifies the image and predict digits from hand-written images with a high degree of accuracy..
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Created, trained and evaluated a neural network in TensorFlow.
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Following steps were performed in order to achieve the end results and improve the accuracy :
- Encoded the labels.
- Understood neural networks.
- Preprocessed image examples.
- Created a neural network model.
- Trained the model to fit the dataset.
- Evaluated the model.
- Visualized the predictions.
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Basic image Classification : In this project, I have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy.
madhura-3/Basic-Image-Classification-with-TensorFlow
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Basic image Classification : In this project, I have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy.
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