A Keras Model Visualizer
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Updated
May 9, 2024 - Python
A Keras Model Visualizer
Neural network visualization toolkit for tf.keras
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.
Layers Outputs and Gradients in Keras. Made easy.
Convolutional Neural Network Architecture to classify Bone Fractures from X-Ray Images
Utilities for Keras - Deep Learning library
Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
https://pypi.org/project/kviz/ Visualization library for keras neural networks. Contributions welcome
Object classification with CIFAR-10 using transfer learning
Fitsbook React WebApp. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras.
FitsBook Python Library. Tool for generating real-time machine learning training statistics and storing model histories. Direct integration with Keras Framework.
In this project I have used Advanced DeepLearning techniques with keras to predict the probability of win and lose of college basketball tournaments.
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…
TensorFlow in Practice Specialization
📺 A Python library for pruning and visualizing Keras Neural Networks' structure and weights
Dynamic visualization training service in Jupyter Notebook for Keras tf.keras and others.
Recognition of the images includes train and tests based on Python.
Visualization techiques for deep learning neural networks using Keras
ASCII summary for simple sequential models in Keras
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