Introduction to ML, Deep Learning and Google Colab
Table of contents
Session Agenda
Date: 08/08/2023
Instructor(s): Lilly Thomas & Ryan Avery
Time | Topics | Presenter |
---|---|---|
07:30 - 08:00 |
| Moderator:
|
08:00 - 08:30 |
| Moderator:
|
08:30 - 09:00 |
| Moderator:
|
09:00 - 09:30 |
| Moderator:
|
09:30 - 10:30 |
| Lead:
|
10:30 - 11:00 | Coffee Break | - |
11:00 - 12:00 |
| Moderator:
|
12:00 - 13:00 |
| Moderator:
|
13:00 - 14:15 | Lunch | - |
14:15 - 15:00 |
| Moderator:
|
15:00 - 15:40 | Break | - |
15:40 - 17:00 |
| Moderator:
|
17:00 - 17:20 |
| Moderator:
|
Content
Introduction to Machine Learning, Deep Learning and Artificial Intelligence:
Introduction to Google Colab, Tensorflow 2.0 and Keras Library:
- Colab: https://developmentseed.org/tensorflow-eo-training-2/docs/Lesson2a_Intro_to_Google_Colab.html
- Tensorflow 2.0 and Keras part 1: https://developmentseed.org/tensorflow-eo-training-2/docs/Lesson2b_Intro_TensorFlow_Keras.html
- Tensorflow 2.0 and Keras part 2: https://developmentseed.org/tensorflow-eo-training-2/docs/Lesson2c_Intro_TF2_Keras_TFDS_RadiantEarth.html
Overview of the building blocks (tensors) of TensorFlow (Tensors), main methods, functions and datasets:
Integrating TensorFlow with Google Earth Engine and Google Cloud Platform: