Category Archives: Keras
How to calculate the number of parameters for a Convolutional and Dense layer in Keras?
we need to understand whether or not the layer contains biases for each layer. If it is, then we simply add the number of biases. The number of biases will be equal to the number of nodes(filters) in the layer.
Change the Learning Rate using Schedules API in Keras
The intuition behind slowly reducing the learning rate is that maybe during the initial steps of learning you can afford to take much bigger steps but then as learning approaches convergence then having a slower learning rate allows you to take smaller steps.
How to normalize, mean subtraction, standard deviation, zero center image dataset in Python?
standardize the inputs to your network as much as possible, so that learning is more stable by reducing variability across the training data. In terms of normalization of the data, that all features are in the same range so that they contribute equally.
Keras Custom Training Loop
You can do this whether you’re building Sequential models, Functional API models, or subclassed models. Using this custom training algorithm, you still get the benefit from the convenient features of fit(), such as callbacks, built-in distribution support, or step