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.
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Updated
Jan 11, 2019 - Python
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 Callback for Auralization of Gradient Norms
A python package for real time tracking of keras model training
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
Cyclical Learning Rate and 1Cycle Policy as Keras callback.
Data camp intro to Keras and Tensorflow course revision, and CIfar10, cifar100, MNIST challenges.
Notifier and manager bot for ML librarier: Keras and Chainer
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 guide on custom implementation of metric, logging, monitoring, and lr schedule callbacks in Keras
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 function for stochastic weight averaging
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
Monitor your Keras models
Utilities for Keras - Deep Learning library
Streamlit Demo of SVHN Data Classifiers
Streamlit Demo of CIFAR10 Data Classifiers
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