keras-visualization
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Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
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Mar 31, 2025 - Python
Layers Outputs and Gradients in Keras. Made easy.
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Apr 7, 2025 - Python
Neural network visualization toolkit for tf.keras
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Mar 12, 2025 - Python
Keras implementation of a ResNet-CAM model
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Feb 1, 2018 - Python
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.
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Aug 16, 2024 - Python
Object classification with CIFAR-10 using transfer learning
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Jun 27, 2021 - Jupyter Notebook
ASCII summary for simple sequential models in Keras
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Jan 28, 2019 - Jupyter Notebook
Using various CNN techniques on the MNIST dataset
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Jun 27, 2017 - Jupyter Notebook
A Keras Model Visualizer
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May 9, 2024 - Python
Utilities for Keras - Deep Learning library
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Dec 27, 2022 - Python
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
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Jan 17, 2025 - Python
Dynamic visualization training service in Jupyter Notebook for Keras tf.keras and others.
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Sep 26, 2019 - Jupyter Notebook
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
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Dec 24, 2019 - Python
Recognition of the images includes train and tests based on Python.
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Jul 9, 2019 - Python
An IPython notebook demonstrating the process of Transfer Learning using pre-trained Convolutional Neural Networks with Keras on the popular CIFAR-10 Image Classification dataset.
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Jan 20, 2018 - Jupyter Notebook
This is a model that has been trained on historical data obtained from Yahoo Finance. The data set comprises of all data records starting from the launch date of this stock in India (1996). This model aims to pick up key trends in the stock price fluctuations based on Time Series mapping. It is able to render predictions for the upcoming time pe…
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Jun 21, 2020 - Jupyter Notebook
Breast cancer is the most common form of cancer in women, and invasive ductal carcinoma (IDC) is the most common form of breast cancer. Accurately identifying and categorizing breast cancer subtypes is an important clinical task, and automated methods can be used to save time and reduce error. The goal of this script is to identify IDC when it i…
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Dec 5, 2018 - Jupyter Notebook
Easy way to visualize convolutional neural networks, through two visualizations : Reason & MaxOut. Final version : web app.
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Aug 21, 2018 - Python
📉 Visualize your Deep Learning training in static graphics
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Jul 30, 2018 - Python
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