The library has a simple API that’s intuitive and well-documented, making it quick to set up and start experimenting. DJL supports a variety of deep learning engines like TensorFlow, PyTorch, and MXNet, so I can work with the models I need without much hassle. Review collected by and hosted on G2.com.
Since DJL is relatively new, it doesn’t have as many tutorials or community discussions compared to more established libraries in Python. Sometimes this makes it harder to troubleshoot issues or find examples. Review collected by and hosted on G2.com.