Image Super-Resolution using CNN with Keras in Python

Image Super-Resolution using CNN with Keras in Python, available at $34.99, has an average rating of 3.75, with 32 lectures, based on 16 reviews, and has 1055 subscribers.

You will learn about Understand the fundamentals of Efficient Sub-pixel Convolutional Neural Network (CNN) Build and train a the super-resolution model using Keras with Tensorflow as a backend using Google Colab Assess the performance of trained model Learn to use the trained model to predict the high-resolution image of a new set of image data This course is ideal for individuals who are Beginners starting out to the field of Deep Learning or Industry professionals and aspiring data scientists or People who want to know how to write their image super-resolution code It is particularly useful for Beginners starting out to the field of Deep Learning or Industry professionals and aspiring data scientists or People who want to know how to write their image super-resolution code.

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Summary

Title: Image Super-Resolution using CNN with Keras in Python

Price: $34.99

Average Rating: 3.75

Number of Lectures: 32

Number of Published Lectures: 32

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will Learn

• Understand the fundamentals of Efficient Sub-pixel Convolutional Neural Network (CNN)
• Build and train a the super-resolution model using Keras with Tensorflow as a backend using Google Colab
• Assess the performance of trained model
• Learn to use the trained model to predict the high-resolution image of a new set of image data

Who Should Attend

• Beginners starting out to the field of Deep Learning
• Industry professionals and aspiring data scientists
• People who want to know how to write their image super-resolution code

Target Audiences

• Beginners starting out to the field of Deep Learning
• Industry professionals and aspiring data scientists
• People who want to know how to write their image super-resolution code