DL-Using-Keras | dense layer is a classic fully connected neural network

DL-Using-Keras is a Jupyter Notebook library. DL-Using-Keras has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A dense layer is a classic fully connected neural network layer : each input node is connected to each output node. When we compile our models we use either theano or TensorFlow under the hood for efficient numerical computations. An intuitive explanation from an application standpoint is to note that in machine learning cross-entropy is used to predict class probabilities, and MSE to predict values. For example, to predict if a house will be bough by someone over 40 years or below 40 you use cross-entropy. But if you try to predict the age of the buyer, you use MSE.