How did the speaker calculate the approximate chunk size for chunking the slices?
Tuesday, 08 August 2023
by EITCA Academy
To calculate the approximate chunk size for chunking the slices in the context of the Kaggle lung cancer detection competition, the speaker utilized a systematic approach that involved considering the dimensions of the input data and the desired output size. This process was essential to ensure efficient processing and accurate results in the 3D convolutional
What is the purpose of the "chunk size" and "n chunks" parameters in the RNN implementation?
Tuesday, 08 August 2023
by EITCA Academy
The "chunk size" and "n chunks" parameters in the implementation of a Recurrent Neural Network (RNN) using TensorFlow serve specific purposes in the context of deep learning. These parameters play a crucial role in shaping the input data and determining the behavior of the RNN model during training and inference. The "chunk size" parameter refers
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, Recurrent neural networks in TensorFlow, RNN example in Tensorflow, Examination review
Tagged under:
Artificial Intelligence, Batch Size, Chunk Size, Deep Learning, Recurrent Neural Networks, TensorFlow