By Dan Howarth and Ajit Jaokar, October 2019. 58 pages. CNN stands for Convolutional Neural Networks. Part 1 will introduce the core concepts of Deep Learning. We will also start coding straightaway with Tensorflow 2.0. In part 2, we use another dataset - the mnist dataset - to build on our knowledge. In particular, we will:
Contents
Part 1: Deep Learning with TensorFlow 2.0
1. Introduction to the Notebooks
2. Introduction to this Notebook
3. Deep Learning Conceptual Introduction
4. Data
5. Model
6. Training the Model
7. Evaluation and Inference
8. Summary
9. Exercise
Part 2: Computer Vision with CNNs
1. Introduction to this Notebook
2. Data: Introduction to Computer Vision
3. Model Building
4. Training
5. Evaluation and Inference
6. Summary
7. Exercises
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Posted 29 March 2021
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