This is a curated collection of Guided Projects for aspiring machine learning engineers, software engineers, and data scientists. This collection will help you get started with basic computer vision tasks like: 1) training convolutional neural networks (CNN) to perform Image Classification and Image Similarity, 2) deploying the models using TensorFlow Serving and FlaskCustomizing Keras layers and callbacks, and 3) building a deep convolutional generative adversarial networks to understand the technology behind generating Deepfake images.

While there are many other important tasks in the domain of computer vision (object detection, semantic or instance segmentation etc.), these Guided Projects will help you build a foundation so you can complete advanced projects on your own in the future.

This collection is suitable even if you have never used CNN in Keras before. However, prior experience in Python programming and a solid conceptual understanding of how neural networks, CNN, and optimization algorithms like Gradient Descent work is highly recommended. Please note that each of these Guided Projects use TensorFlow’s implementation of Keras.

This is a curated collection of Guided Projects for aspiring machine learning engineers, software engineers, and data scientists. This collection will help you get started with basic computer vision tasks like: 1) training convolutional neural networks (CNN) to perform Image Classification and Image Similarity, 2) deploying the models using TensorFlow Serving and FlaskCustomizing Keras layers and callbacks, and 3) building a deep convolutional generative adversarial networks to understand the technology behind generating Deepfake images.

While there are many other important tasks in the domain of computer vision (object detection, semantic or instance segmentation etc.), these Guided Projects will help you build a foundation so you can complete advanced projects on your own in the future.

This collection is suitable even if you have never used CNN in Keras before. However, prior experience in Python programming and a solid conceptual understanding of how neural networks, CNN, and optimization algorithms like Gradient Descent work is highly recommended. Please note that each of these Guided Projects use TensorFlow’s implementation of Keras.

What is Keras?

Keras is an incredibly powerful but simple to use API built on top of TensorFlow. Because of its ease of use, Keras is often used for rapid prototyping — imagine being able to train and test a model with just a few lines of code! It is also possible to deploy models trained with Keras in production usually by saving the models in TensorFlow's SavedModel format.

Keras is very flexible and lends itself really well to all kinds of machine learning tasks.

What is computer vision?

Computer vision is a very broad field of computer science that attempts to automate a variety of visual tasks that humans can do. For example, humans can identify and localize various objects in given images — this task is called object detection. In recent years, deep learning, particularly using convolutional neural networks (CNN), has been more and more effective in solving these computer vision tasks.

What is a Guided Project?

A Guided Project helps you learn a job-relevant skill in under 2 hours through an interactive experience with step-by-step instructions from a subject matter expert. Everything you need to complete a Guided Project is available right in your browser. No software or prior experience is required to get started.

Related

TensorFlow and Keras Projects for Beginners

Related

Machine Learning Projects using scikit-learn

Community
Join a community of 40 million learners from around the world
Certificate
4.8 million people have earned a course certificate on Coursera
Confidence
72% of all learners say their courses made them more confident
Career
83% of people reported tangible career benefit from content on Coursera
All courses include:
  • Check100% online
  • CheckFlexible schedule
  • CheckMobile learning
  • CheckVideos and readings from professors at world-renowned universities and industry leaders
  • CheckPractice quizzes

Can’t decide what is right for you?

Try the full learning experience for most courses free for 7 days.

Register to learn with Coursera’s community of 35 million learners around the world

Beliebte Online-Kurse

Beliebte Online-Spezialisierungen

Online-Zertifikate

Online-Abschlussprogramme

Coursera

Community

Mehr

Aus dem App Store herunterladenErhältlich bei Google Play