๐ค Machine learning models can be used in three ways on the web with TensorFlow.js.
๐ The first way is to use pre-made models that have already been trained and can be reused for specific use cases.
๐ง These pre-made models are often robust, well-tested, and reliable for their given tasks.
๐ Different machine learning models have varying levels of complexity and time requirements for training.
๐ Transfer learning allows retraining pre-trained models to learn new tasks using custom data.
๐ง Creating your own models from scratch is another option in machine learning.
โจ TensorFlow.js allows you to create and train your own machine learning models from scratch.
โก You can use pre-made models or apply transfer learning to work with your own custom data.
๐ง This approach is useful when existing models are not suitable, slow, or memory-intensive.
๐ TensorFlow.js now supports the execution of other forms of TensorFlow models.
๐ There is a command line converter available to convert TensorFlow models to TensorFlow.js.
๐ The next chapter will focus on pre-made models and coding examples.