https://github.com/valentinlibouton/tensorflow_developer_certificate_bootcamp

Udemy - TensorFlow Developer Certificate Bootcamp
https://github.com/valentinlibouton/tensorflow_developer_certificate_bootcamp

tensorflow udemy-course zerotomastery

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Udemy - TensorFlow Developer Certificate Bootcamp

• Host: GitHub
• URL: https://github.com/valentinlibouton/tensorflow_developer_certificate_bootcamp
• Owner: ValentinLibouton
• License: mit
• Created: 2024-02-04T18:12:20.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-05-22T07:42:57.000Z (6 months ago)
• Last Synced: 2024-05-22T08:49:12.470Z (6 months ago)
• Topics: tensorflow, udemy-course, zerotomastery
• Language: Jupyter Notebook
• Homepage: https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-zero-to-mastery/
• Size: 166 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# [Udemy - TensorFlow Developer Certificate Bootcamp](https://www.udemy.com/course/tensorflow-developer-certificate-machine-learning-zero-to-mastery/)


This course prepares for official Google's TensorFlow certification:


→ [https://www.tensorflow.org/certificate](https://www.tensorflow.org/certificate)


My Udemy Certificate

![My Udemy Certificate](https://udemy-certificate.s3.amazonaws.com/image/UC-02e98751-80ce-4425-898f-9c0239b7662b.jpg?v=1716237520000)

## Useful links

- [Course Github: https://github.com/mrdbourke/tensorflow-deep-learning](https://github.com/mrdbourke/tensorflow-deep-learning)

## Table of contents

### 0. TensorFlow fundamentals

- [x] [Notebook](00_tensorflow_fundamentals/00.1_tensorflow_fundamentals.ipynb)


### 1. Neural Network Regression With TensorFlow

- [x] [Notebook](01_neural_network_regression_with_tensorflow/01.1_neural_network_regression_with_tensorflow_video.ipynb)


### 2. Neural Network Classification With TensorFlow

- [x] [Notebook](02_neural_network_classification_with_tensorflow/02.1_neural_network_classification_with_tensorflow_video.ipynb)


### 3. Computer Vision and Convolutional Neural Networks in TensorFlow

- [x] [Notebook](03_computer_vision_and_convolutional_neural_networks_in_tensorflow/03.1_introduction_to_computer_vision_with_tensorflow_video.ipynb)


### 4.Transfer Learning in TensorFlow Part 1: Feature extraction

- [x] [Notebook](04_transfer_learning_in_tensorflow_part_1_feature_extraction/04.1_transfer_learning_in_tensorflow_part_1_feature_extraction_video.ipynb)


### 5. Transfer Learning in TensorFlow Part 2: Fine tuning

- [x] [Notebook](05_transfer_learning_in_tensorflow_part_2_fine_tuning/05.1_transfer_learning_in_tensorflow_part_2_fine_tuning_video.ipynb)


### 6. Transfer Learning in TensorFlow Part 2: Scaling Up

- [x] [Notebook](06_transfer_learning_in_tensorflow_part_3_scaling_up/06.1_transfer_learning_in_tensorflow_part_3_scaling_up_video.ipynb)


### 7. Milestone Project 1: Food Vision Big

- [x] [Notebook](07_milestone_project_1_food_vision/07.1_milestone_project_1_food_vision_video.ipynb)


### 8. NLP Fundamentals in TensorFlow

- [x] [Notebook](08_introduction_to_nlp_in_tensorflow/08_introduction_to_nlp_in_tensorflow_video.ipynb)


### 9. Milestone Project 2: SkimLit

- [x] [Notebook](09_SkimLit_nlp_milestone_project_2/09.1_SkimLit_nlp_milestone_project_2_video.ipynb)


### 10. Time Series fundamentals in TensorFlow + Milestone Project 3: BitPredict

- [x] [Notebook](10_time_series_forecasting_with_tensorflow/10.1_time_series_forecasting_with_tensorflow_video.ipynb)