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Deep learning for object detection using Tensorflow 2 with Faster RCNN

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Self-paced course

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Certification program

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Overview

This course is designed to make you proficient in training and evaluating deep learning based object detection models. Specifically, you will learn about Faster RCNN.

For Faster RCNN model, you will first learn about how it is designed from a high level perspective. This will help you build the intuition about how it works.

After this, you will learn how to leverage the power of Tensorflow 2 to train and evaluate this model on your local machine.

Finally, you will learn how to leverage the power of cloud computing to improve your training process. For this last part, you will learn how to use Google Cloud AI Platform in order to train and evaluate your models on powerful GPUs offered by google.

I designed this course to help you become proficient in training and evaluating object detection models. This is done by helping you in several different ways, including :

  1. Building the necessary intuition that will help you answer most questions about object detection using deep learning, which is a very common topic in interviews for positions in the fields of computer vision and deep learning.

  2. By teaching you how to create your own models using your own custom dataset. This will enable you to create some powerful AI solutions.

  3. By teaching you how to leverage the power of Google Cloud AI Platform in order to push your model's performance by having access to powerful GPUs.

Skills you will gain

Learning outcomes

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546 students

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English

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Beginner

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