https://github.com/bashmocha/deeplearning.ai-tensorflow-developer-course

Assignments and exercises for DeepLearning.AI TensorFlow Developer course
https://github.com/bashmocha/deeplearning.ai-tensorflow-developer-course

artificial-intelligence computer-vision deep-learning machine-learning natural-language-processing neural-networks python

Last synced: 26 days ago
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Assignments and exercises for DeepLearning.AI TensorFlow Developer course

• Host: GitHub
• URL: https://github.com/bashmocha/deeplearning.ai-tensorflow-developer-course
• Owner: BashMocha
• License: mit
• Created: 2023-08-29T11:44:16.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-09-23T10:27:16.000Z (over 1 year ago)
• Last Synced: 2024-12-06T09:38:40.706Z (about 1 month ago)
• Topics: artificial-intelligence, computer-vision, deep-learning, machine-learning, natural-language-processing, neural-networks, python
• Language: Jupyter Notebook
• Homepage: https://www.coursera.org/professional-certificates/tensorflow-in-practice
• Size: 2.17 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# TensorFlow Developer specialization on Coursera

Contains assignment answers and exercises from all courses in the Coursera [TensorFlow Developer specialization](https://www.coursera.org/professional-certificates/tensorflow-in-practice) offered by [`deeplearning.ai`](https://www.deeplearning.ai/courses/tensorflow-developer-professional-certificate/).

See [Coursera Honor Code](https://www.coursera.support/s/article/209818863-Coursera-Honor-Code?language=en_US) before taking a look at the answers.

![DeepLearning AI TensorFlow Developer](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/assets/80858788/0600b40a-d068-4e3a-930c-bebb4252985b)

## Content

- ### [Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow)

  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week1): A New Programming Paradigm

  * [Week 2](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week2): Introduction to Computer Vision

  * [Week 3](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week3): Enhancing Vision with Convolutional Neural Networks

  * [Week 4](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week4): Using Real-world Images

 

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- ### [Convolutional Neural Networks in TensorFlow](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks)

  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week1): Exploring a Larger Dataset

  * [Week 2](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week2): Augmentation: A technique to avoid overfitting

  * [Week 3](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week3): Transfer Learning

  * [Week 4](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week4): Multiclass Classifications

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- ### [Natural Language Processing in TensorFlow](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing)

  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week1): Sentiment in text

  * [Week 2](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week2): Word Embeddings

  * [Week 3](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week3): Sequence models

  * [Week 4](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week4): Sequence models and literature

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  - ---

- ### [Sequences, Time Series and Prediction](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/4.%20Sequences%2C%20Time%20Series%20and%20Prediction)

  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/4.%20Sequences%2C%20Time%20Series%20and%20Prediction/Week1): Sequences and Prediction

  * [Week 2](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/4.%20Sequences%2C%20Time%20Series%20and%20Prediction/Week2): Deep Neural Networks for Time Series

  * [Week 3](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/4.%20Sequences%2C%20Time%20Series%20and%20Prediction/Week3): Recurrent Neural Network for Time Series

  * [Week 4](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/4.%20Sequences%2C%20Time%20Series%20and%20Prediction/Week4): Real-world time series data

 

      Show Certificate