By the end of this course, you will be able to
Get familiar with all about preprocessing techniques such as: Labeling Augmentation and Data pipelines.
Understand the concept of Convolutional Neural Network, its functions and how to implement this concept on using photos with Machine Learning.
Identify what is Transfer Learning and how to use it with CNN in addition to understanding the real applications for CNN that we use in our reality today, the model deployment and how to export any model you have.
Course details
- 3 h 2 m/12 lessons
- Last updated: 31/12/2022
- Course completion certificate
Course Content
CNN
Labeling
CNN
Labeling
Augmentation
Plot Images
Build the Model
Transfer Learning
Applications
Face Recognition #1
Face Recognition #2
Face Recognition #3
TFLite
TFX Model Serving
About this course
The Data Scientist profession has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems. This series of five training courses is designed to teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python.
Course requirements and prerequisites
There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.
Mentor
Hassan Fulaih
Software Engineering Expert
7,502 Learners
39 Courses
