What is the purpose of using the softmax activation function in the output layer of the neural network model?
Saturday, 05 August 2023
by EITCA Academy
The purpose of using the softmax activation function in the output layer of a neural network model is to convert the outputs of the previous layer into a probability distribution over multiple classes. This activation function is particularly useful in classification tasks where the goal is to assign an input to one of several possible
What is the role of the output layer in an image classifier built using TensorFlow?
Saturday, 05 August 2023
by EITCA Academy
The output layer plays a crucial role in an image classifier built using TensorFlow. As the final layer of the neural network, it is responsible for producing the desired output or prediction based on the input image. The output layer consists of one or more neurons, each representing a specific class or category that the