[Market Trend] What is PyTorch? | IBM
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PyTorch has established itself as a leading framework for machine learning and deep learning, according to expert Sahdev Zala. It provides the fundamental building blocks for constructing machine learning and deep learning models, along with capabilities to train them quickly. This framework, which is an open-source project under the PyTorch Foundation, part of the Linux Foundation, enjoys robust community support.
The key processes in model training include data preparation, model construction, training, and testing. PyTorch facilitates the use of large datasets for training and testing, making it easy to download data and train in batch sizes. Building models requires a variety of layers and activation functions, all of which are provided by PyTorch. During training, loss functions are used to calculate the loss between the model's output and the desired outcome, and PyTorch automatically calculates gradients.
PyTorch is user-friendly and compatible with Python. It operates on both CPUs and GPUs and supports training in a distributed environment. Additionally, it's easy to contribute to the open-source community. IBM has made significant contributions to PyTorch, working on various optimizations and improvements. As a member of the PyTorch community, Sahdev Zala shares his experiences to enhance understanding of PyTorch and encourages those interested in machine learning/deep learning to get involved.
