- Hands-On Deep Learning Architectures with Python
- Yuxi (Hayden) Liu Saransh Mehta
- 156字
- 2021-06-24 14:48:12
TensorFlow and Keras
Before proceeding any further, let us quickly set up our coding environment. This book uses Python programming language all throughout the chapters. So, we expect you to have prior knowledge of Python. We will be using two of the most popular deep learning open source frameworks—TensorFlow and Keras. Let's begin with setting up Python first (in case you don't have it installed already).
We highly recommend using a Linux (Ubuntu preferably) or macOS operating system. The reason for this is most of the libraries for deep learning are built to work best with a Linux/Unix operating system. All the setup instructions will be covered for these operating systems.
While installing Python, it is recommended to install version 3.6 rather than the latest 3.7 or beyond. This is to avoid unpredicted conflicts between TensorFlow and Python due to new keywords in Python that are being used as variable names in TensorFlow.
While installing Python, it is recommended to install version 3.6 rather than the latest 3.7 or beyond. This is to avoid unpredicted conflicts between TensorFlow and Python due to new keywords in Python that are being used as variable names in TensorFlow.
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