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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

45 Lessons4 Quizzes27 Challenges

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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Author NameImage Recognition with MachineLearning

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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.

Learn more about Adaptilab

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