Keras -- Fundamentals for Deep Learning

Hi everyone, I'm reposting my old blogs here, as my account was hacked. The main structure in Keras is the Model which defines the complete graph of a network. You can add more layers to an existing model to build a custom model that you need for your project. Here's how to make a Sequential Model and a few commonly used layers in deep learning This is an example of convolutional layer as the input layer with the input shape of 320x320x3, with 48 filters of size 3x3 and use ReLU as an activation function. After we define our model, let's start to train them. It is required to compile the network first with the loss function and optimizer function.