Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy. The LeNet Convolutional Neural net architecture uses a 5x5 filter kernel for Max Pooling, and RELU activation unit.
Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.
Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy. The LeNet Convolutional Neural net architecture uses a 5x5 filter kernel for Max Pooling, and RELU activation unit.
Traffic signal identification using Keras LeNet architecture. Identify 43 different classes of images with over 90% accuracy.