Image Understanding with TensorFlow on GCP
Google Cloud and Google via Coursera
-
56
-
- Write review
Overview
Class Central Tips
We will take a look at different strategies for building an image classifier using convolutional neural networks. We'll improve the model's accuracy with augmentation, feature extraction, and fine-tuning hyperparameters while trying to avoid overfitting our data. We will also look at practical issues that arise, for example, when you don’t have enough data and how to incorporate the latest research findings into our models.
You will get hands-on practice building and optimizing your own image classification models on a variety of public datasets in the labs we’ll work on together.
Prerequisites: Basic SQL, familiarity with Python and TensorFlow
Taught by
Google Cloud Training
Related Courses
-
Recommendation Systems with TensorFlow on GCP
Google Cloud, Google
-
End-to-End Machine Learning with TensorFlow on GCP
Google Cloud, Google
-
Introduction to TensorFlow
Google Cloud, Google
-
End-to-End Machine Learning with TensorFlow on GCP
-
Intro to TensorFlow en Español
Google Cloud, Google
-
Intro to TensorFlow en Français
Google Cloud, Google
Reviews
0.0 rating, based on 0 reviews