Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
-
Updated
Dec 11, 2018 - Python
Project 3 of Term 1 in the Udacity Self Driving Car Nanodegree
Keras Total Visualization project
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. First Version : Terminal.
📉 Visualize your Deep Learning training in static graphics
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
A Keras Model Visualizer
Recognition of the images includes train and tests based on Python.
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
Utilities for Keras - Deep Learning library
Neural network visualization toolkit for tf.keras
Keras implementation of a ResNet-CAM model
K-CAI NEURAL API - Keras based neural network API that will allow you to create parameter-efficient, memory-efficient, flops-efficient multipath models with new layer types. There are plenty of examples and documentation.
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
Layers Outputs and Gradients in Keras. Made easy.
Add a description, image, and links to the keras-visualization topic page so that developers can more easily learn about it.
To associate your repository with the keras-visualization topic, visit your repo's landing page and select "manage topics."