Android Machine Learning with TensorFlow Lite and tf.Keras
L1 - Google Colab Basics
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You can write Python code for ML training, evaluation and visualize the process in Jupyter Notebooks. This lesson teaches you how to use Google Colab - Jupyter Notebook running on a VM in Google Cloud. With Colab, you can train your model on CPU, GPU or even TPU.
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The instruction seems to be out-of-date already. There is no Colaboratory anymore from Google Workspace Marketplace. I have to go https://research.google.com/colaboratory/ directly.
Lessons in Android Machine Learning with TensorFlow Lite and tf.Keras
1. L0 - Course Overview
00:58
2. L1 - Google Colab Basics

03:24
3. L2 - Python Basics

03:34
4. L3 - Numpy Basics

Pro
04:10
5. L4 - Matplotlib Basics

Pro
03:18
6. L5 - Intro to Deep Learning

Pro
03:58
7. L6 - Intro to TensorFlow 2.0 and tf.Keras

Pro
03:15
8. L7 - E2E: Image Classifier - Data

Pro
05:20
9. L8 - E2E: Image Classifier - Training

Pro
06:40
10. L9 - E2E: Image Classifier - Model Conversion

Pro
05:58
11. L10 - E2E: Deploy the TFLite model to Android

Pro
06:20

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