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Journey to Become a Google Cloud Machine Learning Engineer

You're reading from   Journey to Become a Google Cloud Machine Learning Engineer Build the mind and hand of a Google Certified ML professional

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803233727
Length 330 pages
Edition 1st Edition
Languages
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Author (1):
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Dr. Logan Song Dr. Logan Song
Author Profile Icon Dr. Logan Song
Dr. Logan Song
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Starting with GCP and Python
2. Chapter 1: Comprehending Google Cloud Services FREE CHAPTER 3. Chapter 2: Mastering Python Programming 4. Part 2: Introducing Machine Learning
5. Chapter 3: Preparing for ML Development 6. Chapter 4: Developing and Deploying ML Models 7. Chapter 5: Understanding Neural Networks and Deep Learning 8. Part 3: Mastering ML in GCP
9. Chapter 6: Learning BQ/BQML, TensorFlow, and Keras 10. Chapter 7: Exploring Google Cloud Vertex AI 11. Chapter 8: Discovering Google Cloud ML API 12. Chapter 9: Using Google Cloud ML Best Practices 13. Part 4: Accomplishing GCP ML Certification
14. Chapter 10: Achieving the GCP ML Certification 15. Part 5: Appendices
16. Index 17. Other Books You May Enjoy Appendix 1: Practicing with Basic GCP Services 1. Appendix 2: Practicing Using the Python Data Libraries 2. Appendix 3: Practicing with Scikit-Learn 3. Appendix 4: Practicing with Google Vertex AI 4. Appendix 5: Practicing with Google Cloud ML API

Neural networks and DL

In the history of us human beings, there are many interesting milestones, from vision development and language development to making and using tools. How did humans evolve and how can we train a computer to see, speak, and use tools? Looking for answers to these questions has led us to the modern AI arena.

How do our brains work? Modern science reveals that in the brain, there is a layered neural network consisting of a set of neurons. A typical neuron collects electrical signals from others through a fine structure called dendrites and sends out spikes of signals through a conducting structure called an axon, which splits into many branches. At the end of each branch, a synapse converts the signals from the axon into electrical effects to excite activity on the target neuron. Figure 5.1 shows the working mechanism of a biological neuron:

Figure 5.1 – How a biological neuron works

Figure 5.1 – How a biological neuron works

Inspired by the biological neural network...

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