Name: Convolutional Neural Networks for Image Classification
SKU: 1554263
Price: 50.00 USD
Availability: InStock
Rating: 4.61 (83 reviews)

2h 17m
Intermediate

Discover convolutional neural networks (CNNs) – the image recognition technology behind self-driving cars, facial recognition, fingerprint matching and more. Learn all about this popular type of neural network while building two models for identifying handwritten numbers – one using TensorFlow 2.0 (a highly popular machine learning library), and another using Keras (a modular library specifically for neural networks).

You will learn:

How image recognition works
Real-world applications of image recognition
What the MNIST dataset is, and how to access and use it
Building, training, and testing CNN models with Tensorflow
Building, training, and testing CNN models with Keras

…and more!

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MIHIR PATEL

I love the lectures, concise course objectives, and how they not only teach you enough to get started, but prepare you for the advanced stuff later down the road.

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MONICA MANCUSI

With Zenva, I started learning a more accurate way to approach problems and develop solutions. It’s full of interesting topics that I love to learn in conjunction with my work.

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I chose Zenva because of the large selection of topics and the fact that I can choose what courses I want to take whenever I want to take them. That level of freedom is unique to Zenva.

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ANDREA CARDENAS-ROEDER

The Unity courses at Zenva helped me achieve a level of comfort with game development that I didn’t think was possible. They give you the confidence to expand your skills, and were so easy to understand.

Course Requirements

Introduction

Intro to Image Recognition – Part 1

Intro to Image Recognition – Part 2

Tools for Image Recognition – Part 1

Tools for Image Recognition – Part 2

MNIST

Building a CNN – Part 1

Building a CNN – Part 2a

Building a CNN – Part 2b

Building a CNN – Part 3

Building a CNN – Part 4

Building a CNN – Part 5

Building a CNN – Part 6a

Building a CNN – Part 6b

Intro to Keras

Building a CNN with Keras

Conclusion

Basic knowledge of Python & Numpy and familiarity with Machine Learning. We recommend completing Machine Learning for Beginners with TensorFlow before taking this course.

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Convolutional Neural Networks for Image Classification

Courses by the World’s Best

YOUR COURSES, YOUR WAY

ACHIEVE REAL RESULTS

MIHIR PATEL

MONICA MANCUSI

CRAIG BICKFORD

ANDREA CARDENAS-ROEDER

Why should I learn programming?

What will I achieve by taking these courses?

Technology changes quickly. What happens if the content becomes outdated?

I’m an absolute beginner who’s never coded before. Can I still do these courses?

What time commitment is needed?

Will these courses help me to change my career?

Can I watch the videos offline?

Description

What you will get