Faster On-Ramp to Deep Learning With Jupyter-driven Docker Containers

In our Learning About Deep Learning! post, we walked through our “Unauthoritative Practical Getting Started Guide” to this set of machine learning techniques.  If you’re new to deep learning or just interested in a nice curated set of resources, go back and take a gander.  Following up on that overview, we wanted to share our tips and tricks that have made it easier for us to actually use these powerful technologies.  More specifically, Docker and Jupyter have been lynchpins for our efforts.  Let’s dig a little deeper and uncover exactly why… A maze of technologiesThe hype around deep learning has spurred development of several tools for building, training, and deploying neural networks.  Some are general-purpose foundational libraries, while others are tailored to specific applications like image processing.  The landscape is far from often-mocked Javascriptland, but there are certainly enough…


Link to Full Article: Faster On-Ramp to Deep Learning With Jupyter-driven Docker Containers