What libraries do we need to import for visualizing the lung scans in the Kaggle lung cancer detection competition?
Tuesday, 08 August 2023
by EITCA Academy
To visualize the lung scans in the Kaggle lung cancer detection competition using a 3D convolutional neural network with TensorFlow, we need to import several libraries. These libraries provide the necessary tools and functions to load, preprocess, and visualize the lung scan data. 1. TensorFlow: TensorFlow is a popular deep learning library that provides a
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, 3D convolutional neural network with Kaggle lung cancer detection competiton, Visualizing, Examination review
Tagged under:
Artificial Intelligence, Matplotlib, NumPy, OpenCV, PIL, Pydicom, SimpleITK, TensorFlow
What is the first step in handling the data for the Kaggle lung cancer detection competition using a 3D convolutional neural network with TensorFlow?
Tuesday, 08 August 2023
by EITCA Academy
The first step in handling the data for the Kaggle lung cancer detection competition using a 3D convolutional neural network with TensorFlow involves reading the files containing the data. This step is crucial as it sets the foundation for subsequent preprocessing and model training tasks. To read the files, we need to access the dataset