Deep Learning Pipeline

eBook Details:

• Paperback: 551 pages
• Publisher: WOW! eBook; 1st edition (January 24, 2020)
• Language: English
• ISBN-10: 1484253485
• ISBN-13: 978-1484253489

eBook Description:

Deep Learning Pipeline: Building a Deep Learning Model with TensorFlow

Build your own pipeline based on modern TensorFlow approaches rather than outdated engineering concepts. This book shows you how to build a deep learning pipeline for real-life TensorFlow projects.

You’ll learn what a pipeline is and how it works so you can build a full application easily and rapidly. Then troubleshoot and overcome basic Tensorflow obstacles to easily create functional apps and deploy well-trained models. Step-by-step and example-oriented instructions help you understand each step of the deep learning pipeline while you apply the most straightforward and effective tools to demonstrative problems and datasets.

What You’ll Learn

• Develop a deep learning project using data
• Study and apply various models to your data
• Debug and troubleshoot the proper model suited for your data

You’ll also develop a deep learning project by preparing data, choosing the model that fits that data, and debugging your model to get the best fit to data all using Tensorflow techniques. Enhance your skills by accessing some of the most powerful recent trends in data science. If you’ve ever considered building your own image or text-tagging solution or entering a Kaggle contest, this book is for you!