Keras callback function for stochastic weight averaging

Utilities for Keras - Deep Learning library

Notifier and manager bot for ML librarier: Keras and Chainer

Keras Callback for Auralization of Gradient Norms

Cyclical Learning Rate and 1Cycle Policy as Keras callback.

The objective of this projects is to build a CNN model to accurately detect the presence of Parkinson’s disease in an individual.

Data camp intro to Keras and Tensorflow course revision, and CIfar10, cifar100, MNIST challenges.

Monitor your Keras models

FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.

A guide on custom implementation of metric, logging, monitoring, and lr schedule callbacks in Keras

A python package for real time tracking of keras model training

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.

Streamlit Demo of CIFAR10 Data Classifiers

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.

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