A Deep learning model to classify traffic signs for self driving cars.
In this project, we are going to focus on the following learning objectives:
- Understand the theory and intuition behind Deep Learning and Convolutional Neural Networks (CNNs).
- Import Key python libraries, dataset and perform image visualization.
- Perform image normalization and convert images from color-scaled to gray-scaled.
- Build a Convolutional Neural Network using Keras with Tensorflow 2.0 as a back-end.
- Compile and fit Deep Convolutional Neural Network model to training data.
- Assess the performance of trained Convolutional Neural Network model and ensure its generalization using various KPIs.
- Overview
- Import Libraries and data-sets
- Perform image visualization
- Convert images to gray-scale and perform normalization
- Understand the theory and intuition behind Convolutional Neural Networks
- Build deep learning model
- Compile and train deep learning model 8:.Assess trained model performance