Some popular frameworks like – TensorFlow, Pytorch, Keras. they offer various functionalities, such as handling data preprocessing, implementing various algorithms, and optimizing model performance.
TensorFlow is a full-blown, ML research and production tool. It can be very complex—but it doesn’t have to be. Like an Excel spreadsheet, TensorFlow can be used simply or more expertlyTensorFlow has a rich set of tools. For example, the activation functions for neural networks can do all the hard work of statistics.
• Run on both CPUs and GPUs
• Perform regression, classification, neural networks, etc.
Keras is a neural network library built on top of TensorFlow to make ML modeling straightforward. It simplifies some of the coding steps, like offering all-in-one models, Kera's can also use the same code to run on a CPU or a GPU.
• Microsoft Cognitive Toolkit (CNTK)
• R Programming
What are AI/ML frameworks, and why are they important?
Which framework should I choose for my project?
The choice depends on your project’s requirements, familiarity, and specific use cases. TensorFlow and PyTorch are popular choices.