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On this accelerated Advanced Computer Vision with TensorFlow course, you will learn how to implement multiple state-of-the-art deep learning papers from scratch using the TensorFlow-Keras API, as well as how to construct efficient CNN architectures with CNN Squeeze layers and delayed downsampling
In just 2 days, you’ll learn about residual learning with skip connections and deep residual blocks, and see how to implement a deep residual neural network for image recognition. You’ll also build knowledge on:
At the end of this course, you’ll sit the Advanced Computer Vision with TensorFlow Exam, and achieve your certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to courseware, learn from certified instructors, and train in a distraction-free environment.
This course is ideal if you are an early or mid-career software and machine learning engineer with a foundational understanding of TensorFlow who is looking to expand their knowledge and skillset by learning advanced TensorFlow features to build powerful models.
As part of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered Certification Guarantee:
Your accelerated course includes:
Before attending this accelerated course, it is recommended that you have a foundational understanding of TensorFlow.
Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.
Here's the Firebrand Training review section. Since 2001 we've trained exactly 124229 students and asked them all to review our Accelerated Learning. Currently, 96.62% have said Firebrand exceeded their expectations.
Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.
"Knowledgeable instructor with lots of experience, using real world examples to make it relatable and focused."
Caroline Yardley. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))
"Intense, clear and lots of fun. Highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))
"Intense, clear and lots of fun, highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))
"The instructor did a good work in delivering the material. Very helpful and willing to go the extra mile to support the students."
KB. (25/4/2022 (Monday) to 30/4/2022 (Saturday))
"It is was proper challenge, but the instructor provided the content with a flamboyant and upbeat style and despite the sometimes try nature of the material, the instructor was able to keep us all well engaged. Probably the best trainer I have had."
Michael Ross, NHS England. (25/4/2022 (Monday) to 30/4/2022 (Saturday))
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