Traffic Sign Classification Using Deep Learning in Python/Keras

In this Guided Project, you will: … Build and train a Convolutional Neural Network using Keras with Tensorflow 2.0 as a backend. Assess the performance of trained CNN and ensure its generalization using various Key performance indicators. In this 1-hour long project-based course, you will be able to: – Understand the theory and intuition behind Convolutional Neural Networks (CNNs). Build and train a Convolutional Neural Network using Keras with Tensorflow 2.0 as a backend. Assess the performance of trained CNN and ensure its generalization using various Key performance indicators.2