Picture Source: TensorFlow
TensorFlow Hub is an open repository and library for reusable machine learning. The tfhub. dev repository provides many pre-trained models: text embeddings, image classification models, TF. js/TFLite models and much more. The repository is open to community contributors.
For more detailed information, you can take a look at TensorFlow Hub website. All these informations refered from TensorFlow Hub and DeepLearning.AI.
- Explore the Tensorflow Hub for object detection models.
- Load the models in your workspace.
- Preprocess an image for inference.
- Run inference on the models and inspect the output.
This model follows the Apache 2.0 license. If you intend to use it beyond permissable usage, please consult with the model owners ahead of time.
- Computer Science
- Classification
- TensorFlow Hub
- Neural Networks
- Desserts
- TensorFlow v2
Install this package to use Colab's GPU for training:
!apt install --allow-change-held-packages libcudnn8=8.4.1.50-1+cuda11.6
This lab will walk you through how to use object detection models available in Tensorflow Hub. This project was created to provide information on how to add and use the pre-trained food classification model through TensorFlow Hub. We selected MobileNet V1 model architecture. We used pre-trained food classificaton model via Hub.
If you have something to say to me please contact me:
- Twitter: Doguilmak
- Mail address: doguilmak@gmail.com