Assume each of the steps below would take about an equal amount of time (a few days). What is the first thing you do?

University of Michigan - Ann Arbor

- **Lets the data speak:** For a large enough data set, the neural network can figure out the appropriate function mapping from X (input) to Y (output). Moreover, by relying on a pure machine learning approach, the data and its underlying statistics are the main factors for classifying/predicting the output, and it does not have to reflect on human preconceptions.
- **Less hand-designing of components:** This simplifies the design workflow and saves a lot of time designing individual features of the pipeline. This may contribute to a more ubiquitous adoption of this learning method.

Advantages of End-to-End Deep Learning

Machine Learning Yearning, a free ebook from Andrew Ng, teaches you how to structure Machine Learning projects.
https://www.deeplearning.ai/machine-learning-yearning/

Note: The content of the book is aligned with the Coursera Deeplearning.ai specialization.  https://www.deeplearning.ai/deep-learning-specialization/ 

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