Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, NLP, and Transformers using TensorFlow

Appendix I

Setting Up a Development Environment

This appendix describes how to set up a suitable development environment to try out the code examples presented throughout this book. The code examples should work on any platform that is capable of running Python 3 and either TensorFlow or PyTorch (depending on which deep learning [DL] framework you like to use), such as Linux, MacOS, and Windows. The examples in the first few chapters are feasible to run on a CPU-only platform, but for the more advanced examples, your experience will be much better if you get access to a graphics processing unit (GPU)-accelerated platform,¹ either by having your own GPU or by renting it by the minute from a cloud service such as Amazon Web Services (AWS).

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