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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 134,561 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.
"Very good Resources within the E-Book, Mixed with the Lessons, it is also has good Labs to get hands on Practice and put the theory somewhere practical to get full learning experience, with very high standard explanation throughout the lectures. 10/10!"
Rhys Thomas, Nokia. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"All the staff are very attentive. A fantastic instructor that was able to answer all questions whilst keeping the sessions informative."
Ash Petch, Cepac. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"My experience at Firebrand was brilliant. The people here are nice and approachable among the other apprentices of whom also are very nice and made great friends here too! I am looking forward to my next 2 trips here!"
Lewis Vick, Computacenter. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"Good course lecturer. It was good to go over the whole content of Server+ and hear relevant examples."
Anonymous. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
"It was lovely being here as there was lots of new learning"
Imran Riaz, Watford Boys Grammar School. (7/5/2024 (Tuesday) to 10/5/2024 (Friday))
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