Hello Everyone, In this lesson, we will learn how to build an effective, fast and accurate collision detector. Our main approach will be to get the bounding box of each car on the road, once we get the bounding boxes we can use it in a lot of applications. So lets see how to get these bounding boxes.
Welcome to part 4 of this series on CNN. In the previous lesson, we trained our model with a decent accuracy but the question is if this accuracy is considered to be the best or not. because the model can become overfit in no time.In this lesson, we will learn how to visualize a model and how to select the best model using TensorBoard.
Welcome to the part 3 of this CNN series., previously we learned about the overview of Convolutional Neural Network and how to preprocess the data for training, In this lesson, we will train our Neural network in Google Colab.
Today, if you want to analyze an image or video then Convolutional Neural Network is one of the popular choices available on the internet. In this series of lessons, we will cover various topics and TensorBoard and Keras libraries as we build our model onto it.