Android Machine Learning with TensorFlow Lite and tf.Keras
L7 - E2E: Image Classifier - Data
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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.
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Lessons in Android Machine Learning with TensorFlow Lite and tf.Keras
L0 - Course Overview
00:58
L1 - Google Colab Basics
03:24
L2 - Python Basics
03:34
L3 - Numpy Basics
Pro
04:10
L4 - Matplotlib Basics
Pro
03:18
L5 - Intro to Deep Learning
Pro
03:58
L6 - Intro to TensorFlow 2.0 and tf.Keras
Pro
03:15
L7 - E2E: Image Classifier - Data
Pro
05:20
L8 - E2E: Image Classifier - Training
Pro
06:40
L9 - E2E: Image Classifier - Model Conversion
Pro
05:58
L10 - E2E: Deploy the TFLite model to Android
Pro
06:20
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