Deep Learning Environment Setup

We will start with Anaconda, which makes package management and deployment easy, and NVIDIA’s CUDA ToolkitThe Compute Unified Device Architecture (CUDA) Toolkit is a development environment for creating GPU-accelerated applications. and cuDNN, which make training and inference in deep learning models quick. There are several compute cloud services, such as Amazon Web Services (AWS), that provide ready-to-use deep learning environments with NVIDIA GPUs.

Note: All the libraries/tools mentioned below have already been set up on the platform.

Installing Anaconda and Python

Anaconda is a free and open-source efficient distribution that provides easy package management and deployment for the programming languages R and Python. Anaconda focuses on data science and deep learning applications and provides over six million users with hundreds of packages and support for Windows, Linux, and macOS.