keras-vis
Visualization tool
A toolkit for visualizing and debugging neural network models using techniques like activation maximization and saliency maps.
Neural network visualization toolkit for keras
3k stars
70 watching
660 forks
Language: Python
last commit: over 4 years agoLinked from 3 awesome lists
deep-learningkerasmachine-learningneural-networkstensorflowtheanovisualization
Related projects:
| Repository | Description | Stars |
|---|---|---|
| Tools to aid in designing and visualizing neural network architectures | 4,525 | |
| A Python package to visualize Keras neural network architectures. | 590 | |
| A comprehensive tutorial on building and training deep neural networks using Keras and TensorFlow | 2,951 | |
| Visualizes the loss surfaces of neural networks to understand their behavior and flatness. | 2,859 | |
| An open-source tool to extract and visualize layer outputs and gradients in Keras models | 1,050 | |
| An open source JavaScript library that allows running Keras models in the browser with GPU support using WebGL. | 4,964 | |
| An implementation of MnasNet architecture in Keras for TensorFlow using Python | 99 | |
| A hyperparameter optimization framework for machine learning models | 2,860 | |
| An implementation of the U-Net architecture for image segmentation using Keras and TensorFlow. | 4,623 | |
| An open source implementation of YOLOv3 using Keras and TensorFlow | 7,138 | |
| An implementation of a deep learning model for image segmentation using TensorFlow and Keras | 394 | |
| An implementation of state-of-the-art deep reinforcement learning algorithms in Python. | 5,530 | |
| An implementation of ResNeXt models in Keras, allowing for efficient deep neural networks for image classification. | 224 | |
| A unified interface to various deep learning architectures | 818 | |
| Keras implementation of Fully Convolutional Networks for Semantic Segmentation | 650 |