What are some considerations when choosing checkpoints and adjusting the beam width and number of translations per input in the chatbot's inference process?
Tuesday, 08 August 2023
by EITCA Academy
When creating a chatbot with deep learning using TensorFlow, there are several considerations to keep in mind when choosing checkpoints and adjusting the beam width and number of translations per input in the chatbot's inference process. These considerations are important for optimizing the performance and accuracy of the chatbot, ensuring that it provides meaningful and
How is the progress of the preprocessing tracked?
Tuesday, 08 August 2023
by EITCA Academy
In the field of deep learning, particularly in the context of the Kaggle lung cancer detection competition, preprocessing plays a important role in preparing the data for training a 3D convolutional neural network (CNN). Tracking the progress of preprocessing is essential to ensure that the data is properly transformed and ready for subsequent stages of
- Published in Artificial Intelligence, EITC/AI/DLTF Deep Learning with TensorFlow, 3D convolutional neural network with Kaggle lung cancer detection competiton, Preprocessing data, Examination review
Tagged under:
Artificial Intelligence, Checkpoints, Kaggle Competition, Logging, Preprocessing Pipeline, Progress Bars