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Your team is part of an international company utilizing Google Cloud Platform (GCP) for developing, training, and deploying various machine learning (ML) models. The team is currently focused on enhancing efficiency and speed in the workflow. A new project requires the rapid development of an R-CNN model for recognizing photographic images of collaborators and consultants, with the constraint of not starting from scratch to save time and resources. Given the need for a solution that is optimized for GCP and can leverage pre-trained models to accelerate development, which of the following tools would be the most optimal choice? (Choose one correct option)
A
GitHub, as it hosts a wide range of open-source projects and code repositories that can be forked and modified for your needs.
B
GCP Marketplace Solutions, offering a variety of software packages and solutions from third-party vendors that can be deployed on GCP.
C
TensorFlow Hub, a repository of pre-trained machine learning models ready for fine-tuning and deployment, optimized for GCP.
D
BigQueryML Open, providing access to open datasets that can be used for training ML models directly within BigQuery.
E
Both C (TensorFlow Hub) and D (BigQueryML Open) are correct, as they both offer resources that can be utilized for developing the R-CNN model without starting from scratch.