Convolutional neural network
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.
Welcome to the part 2 of this series on CNN. In the previous lesson we learned about the working of CNN, Now in this lesson and upcoming lessons, we will build a fully functional model to determine the probability of a car in an image
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.