Real-world image classification using convolutional neural networks | Machine Learning Foundations

Опубликовано 20 мая 2020, 16:00

Machine Learning Foundations is a free training course where you’ll learn the fundamentals of building machine learned models using TensorFlow.

In Episode 5, Google Developers can learn how to use convolutional neural networks to classify complex features and build machine learning models with Tensorflow. This tutorial explores real world image classification, with a hands-on example to tackle a more challenging computer vision problem, classifying images of horses and humans!

Exercise 3 answer → goo.gle/3dml4e3
Example: Classifying complex images → goo.gle/2YLupZ7
Exercise 4 → goo.gle/2WbPo5E

TensorFlow is Google’s end-to-end open source machine learning platform. For more videos about TensorFlow, subscribe to the TF YouTube channel → goo.gle/TensorFlow

Machine Learning Foundations playlist → goo.gle/ml-foundations
Subscribe to Google Developers → goo.gle/developers