- Trained a CNN architecture to identify traffic signs using Tensorflow in python.
- Architecture consists of inception module and convolution layers.
- Achieved top 5 prediction accuracy of 98 % on test set.
- Detailed description on the project can be found in project_writeup file.
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(Python Project) Developed and trained an inception module based convolutional neural network architecture to identify German Traffic Signs.
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