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This program aims to train machine learning developers.
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To complete this program, participants must meet the following two requirements:
- This repository serves as a primary guide for documenting and reviewing the materials studied in the Google Machine Learning Bootcamp.
- It also includes notes and resources from the TensorFlow Developer Professional Certificate course taken for certification.
| No. | Course | Note |
|---|---|---|
| 1 | Neural Networks and Deep Learning | |
| 2 | Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization | |
| 3 | Structuring Machine Learning Projects | |
| 4 | Convolutional Neural Networks | |
| 5 | Sequence Models |
| No. | Course | Note |
|---|---|---|
| 1 | Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning | |
| 2 | Convolutional Neural Networks in TensorFlow | |
| 3 | Natural Language Processing in TensorFlow | |
| 4 | Sequences, Time Series and Prediction |
- Completed Deep Learning Specialization
- Obtained TensorFlow certification