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Image Recognition with Machine Learning
Gain insights into image data processing and CNNs for image classification using TensorFlow. Delve into CNN architectures and their applications, requiring Python and TensorFlow knowledge.
4.8
45 Lessons
7h
Join 2.9 million developers at
Join 2.9 million developers at
Learning Roadmap
2.
Image Processing
Image Processing
Walk through image processing techniques for model preparation using TensorFlow and Pillow.
3.
CNN
CNN
11 Lessons
11 Lessons
Master the steps to recognize handwritten digits using convolutional neural networks.
4.
SqueezeNet
SqueezeNet
11 Lessons
11 Lessons
Enhance your skills in developing efficient, high-performance image recognition models with SqueezeNet.
5.
ResNet
ResNet
13 Lessons
13 Lessons
Deepen your knowledge of ResNet architecture, focusing on residual learning for enhanced deep network performance.
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Developed by MAANG Engineers
ABOUT THIS COURSE
If you want to dive into the technology behind computer vision and self driving cars, this is where to start.
In this course you'll learn how to process data from image files and create convolutional neural networks (CNNs) to classify different types of images. After completing this course, you will have a solid understanding of why CNNs work and which CNN architectures to use for different tasks.
The code for this course is built around the TensorFlow framework, one of the premier frameworks for industry machine learning, and the Python pandas library for data analysis. Knowledge of Python and TensorFlow are prerequisites.
This course was created by AdaptiLab, a company specializing in evaluating, sourcing, and upskilling enterprise machine learning talent. It is built in collaboration with industry machine learning experts from Google, Microsoft, Amazon, and Apple.
ABOUT THE AUTHOR
Adaptilab
AdaptiLab is a Seattle-based SaaS startup helping companies grow their machine learning teams from hiring to productivity.
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Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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