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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 134561 students and asked them all to review our Accelerated Learning. Currently, 96.41% 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.
"I had a great time. The instructor is very knowledgeable and his training is on point. Two exams in 2 days is a lot. But he makes it doable."
Juan van Gom, Ministry of Defense Netherlands. (19/1/2024 (Friday) to 21/1/2024 (Sunday))
"It was a tough but interesting 5 days. Learnt new skills and have a better understanding of the tools that can be used by a Business Analyst. Met new people from different companies with different expertise."
Neil Wyborn. (8/1/2024 (Monday) to 12/1/2024 (Friday))
"Great residential place of study. Great tuition with a great Trainer. Great facilities to learn. Looking forward to the next residential!! Looking forward to applying knowledge gained!"
SL, Macmillan Support Cancer. (8/1/2024 (Monday) to 12/1/2024 (Friday))
"Very organised and clear. Enjoyed the teaching. Excellent standard."
MH, Orange cyber defense. (30/10/2023 (Monday) to 1/11/2023 (Wednesday))
"Detailed and thorough training in a great environment."
Anonymous, SYP. (8/1/2024 (Monday) to 12/1/2024 (Friday))
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