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GitHub5y
TensorDash is an application that lets you remotely monitor your deep learning model's metrics and notifies you when your model training is completed or crashed.
Supports all major deep learning frameworks. Remotely get details on the training and validation metrics. Get notified when your model has completed trainng or when it has crashed. Get detailed graphs ...
GitHub2y
isLinXu/model-metrics-plot
This project is developed based on libraries such as Pandas and Matplotlib, and can be used to draw line graphs of multiple index parameters such as algorithm accuracy and speed of multiple deep ...
IEEE1y
Want More WANs? Comparison of Traditional and GAN-Based Generation of Wide Area Network Topologies via Graph and Performance Metrics
With the rise of Machine Learning (ML) and particularly Deep ... compare the similarity of synthetic and real WAN topologies and discuss the suitability of the generators for data augmentation in the ...
ascopubs.org1y
Comparison of pathologist and deep learning–based prostate cancer grading for prediction of metastatic outcomes in primary prostate cancer.
Comparison of whole slide image–based deep learning algorithms and genomic classifiers for assessing the risk of prostate cancer metastasis in surgically treated patients. Long-term results of dose ...
IEEE11mon
Deep Learning Approaches for Stock Price Prediction: A Comparative Study of LSTM, RNN, and GRU Models
Subsequently, the LSTM, RNN, and GRU models are implemented and fine-tuned to optimize their performance in predicting stock prices. Performance metrics ... through charts and graphs. This dual ...
C&EN10mon
Improving Material Property Prediction by Leveraging the Large-Scale Computational Database and Deep Learning
These metrics are regularly updated to reflect usage leading ... Based on the computed properties of our comprehensive data set, we have developed a new graph neural network (GNN) model, namely, ...