There are 1 repository under keras-callback topic.
Keras callback function for stochastic weight averaging
Utilities for Keras - Deep Learning library
The objective of this projects is to build a CNN model to accurately detect the presence of Parkinson’s disease in an individual.
Keras Callback for Auralization of Gradient Norms
Cyclical Learning Rate and 1Cycle Policy as Keras callback.
Data camp intro to Keras and Tensorflow course revision, and CIfar10, cifar100, MNIST challenges.
Monitor your Keras models
A simple and compact one-line progress bar for TensorFlow 2 Keras.
A guide on custom implementation of metric, logging, monitoring, and lr schedule callbacks in Keras
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
Build a DNN Model for MNIST Dataset Provided. Expected Test accuracy is 97 %. The model build should have the number of Neural Network parameters smaller than 1 Lakh
Streamlit Demo of CIFAR10 Data Classifiers
Streamlit Demo of SVHN Data Classifiers
Callback in process that allows to monitor the network in real time and apply changes. It is very useful to modify learning rate, modify parameters of a layer that do not change its size, etc.
Keras callbacks allow user-defined methods to customize the behavior of a Keras model during training, evaluation, or inference. In this video, I'll walk through a simple tutorial on Keras Callbacks.
A python package for real time tracking of keras model training