Technical requirements
Before starting, you will need to ensure that your system meets the following technical requirements:
- Python 3.9: You can download Python from https://www.python.org/downloads/.
- pip (23.3.1) or Anaconda: These are popular package managers for Python. pip comes with Python by default. Anaconda can be downloaded from https://www.anaconda.com/products/distribution.
- torch (2.2.0): The main library we will be using for deep learning in this chapter.
- CUDA (optional): If you have a CUDA-capable GPU on your machine, you can install a version of PyTorch that supports CUDA. This will enable computations on your GPU and can significantly speed up your deep learning experiments.
It’s worth noting that the code presented in this chapter is platform-independent and should run on any system with the preceding requirements satisfied.
The code for this chapter can be found at the following GitHub URL: https://github.com/PacktPublishing/Deep...
