Android Machine Learning with TensorFlow Lite and tf.Keras

L7 - E2E: Image Classifier - Data

This lesson is for PRO members.

Upgrade today to get access to all the PRO lessons.

Unlock this lesson

Autoplay

Up next

L8 - E2E: Image Classifier - Training

Previous

L6 - Intro to TensorFlow 2.0 and tf.Keras

About

This lesson covers how to prepare data for ML training:
- Load the MNIST dataset with tf.Keras.
- Explore the MNIST dataset such as the number of examples in the dataset and data type of each image.
- Preprocess the data such as normalization and reshape.

Instructor

Margaret Maynard-Reid

Links

Comments

There are no comments on this lesson, start the conversation below ...

>

You need to go PRO to post comments.

Log In or Go Pro

Lessons in Android Machine Learning with TensorFlow Lite and tf.Keras

1. L0 - Course Overview

2. L1 - Google Colab Basics

3. L2 - Python Basics

4. L3 - Numpy Basics

5. L4 - Matplotlib Basics

6. L5 - Intro to Deep Learning

7. L6 - Intro to TensorFlow 2.0 and tf.Keras

8. L7 - E2E: Image Classifier - Data

9. L8 - E2E: Image Classifier - Training

10. L9 - E2E: Image Classifier - Model Conversion

11. L10 - E2E: Deploy the TFLite model to Android