Python Deep Learning Projects

Chapter 1 – Building the Deep Learning Environment

The main goal in this chapter was to standardize the toolset for our work together to achieve consistently accurate results. We want to establish a process for building applications using deep learning algorithms that can scale for production. Towards the end, we identified the components of our common deep learning environment, and initially set up a local deep learning environment, which expanded to a cloud-based environment. Throughout the projects that followed, you gained experience with Ubuntu, Anaconda, Python, TensorFlow, Keras, and Google Cloud Platform (GCP), to highlight but a few core technologies. These will continue to be of value to you in your deep learning engineering career! ...