Use Configuration-Based Dependency Injection on TFLearn to Improve Iterative Deep Learning Development Process

Introduction

Deep learning has been proven as a key benefit to all aspects of business development. By using the deep learning frameworks, such as TFLearn, a deep learning library featuring a higher-level API for TensorFlow, we can quickly develop and train a model to perform accurate and intuitive cognitive tasks.

To develop a good deep learning model is an iterative process consisting of steps and sub-tasks which require big collaborations from the teams of data scientists, machine learning engineers, and IT deployment support.