This project is a simple introduction to PyTorch, demonstrating how to build a neural network to classify the famous Iris dataset. The goal of this project is to provide a clear and concise example of ...

pytorch-template/ │ ├── train.py - main script to start training ├── test.py - evaluation of trained model │ ├── config.json - holds configuration for training ├── parse_config.py - class to handle ...

AI has become one of the great, meaningless buzzwords of our time. In this video, the Chief Data Scientist of Dun and Bradstreet explains AI in clear business terms. The Python-based PyTorch 1.0 ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

TensorFlow, Spark MLlib, Scikit-learn, PyTorch, MXNet, and Keras shine for building and training machine learning and deep learning models. If you’re starting a new machine learning or deep learning ...

PyTorch is an open-source machine learning library. While it can be used for a wide range of tasks, it is particularly helpful for the training and inference of deep learning tasks, like computer ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...