{"id":22941408,"url":"https://github.com/bashmocha/deeplearning.ai-tensorflow-developer-course","last_synced_at":"2026-04-29T01:05:32.052Z","repository":{"id":191395028,"uuid":"684559863","full_name":"BashMocha/deeplearning.ai-tensorflow-developer-course","owner":"BashMocha","description":"Assignments and exercises for DeepLearning.AI TensorFlow Developer course","archived":false,"fork":false,"pushed_at":"2023-09-23T10:27:16.000Z","size":2279,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-03-28T21:30:40.382Z","etag":null,"topics":["artificial-intelligence","computer-vision","deep-learning","machine-learning","natural-language-processing","neural-networks","python"],"latest_commit_sha":null,"homepage":"https://www.coursera.org/professional-certificates/tensorflow-in-practice","language":"Jupyter 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-intelligence","computer-vision","deep-learning","machine-learning","natural-language-processing","neural-networks","python"],"created_at":"2024-12-14T13:39:26.642Z","updated_at":"2026-04-29T01:05:32.024Z","avatar_url":"https://github.com/BashMocha.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TensorFlow Developer specialization on Coursera\n\nContains 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/).\n\nSee \u003ci\u003e[Coursera Honor Code](https://www.coursera.support/s/article/209818863-Coursera-Honor-Code?language=en_US)\u003c/i\u003e before taking a look at the answers.\n\n![DeepLearning AI TensorFlow Developer](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/assets/80858788/0600b40a-d068-4e3a-930c-bebb4252985b)\n\n\n## Content\n- ### [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)\n  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week1): A New Programming Paradigm\n  * [Week 2](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week2): Introduction to Computer Vision\n  * [Week 3](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week3): Enhancing Vision with Convolutional Neural Networks\n  * [Week 4](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/1.%20Introduction%20to%20TensorFlow/Week4): Using Real-world Images\n \n\u003cdetails\u003e\n      \u003csummary\u003eShow Certificate\u003c/summary\u003e\n           \u003cimg src=\"https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/assets/80858788/34651283-d8bf-4e78-bb54-464667e0c117\" alt=\"TensorFlow C1 Certificate\"\u003e\n\u003c/details\u003e\n\n  - ---\n- ### [Convolutional Neural Networks in TensorFlow](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks)\n  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week1): Exploring a Larger Dataset\n  * [Week 2](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week2): Augmentation: A technique to avoid overfitting\n  * [Week 3](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week3): Transfer Learning\n  * [Week 4](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/2.%20Convolutional%20Neural%20Networks/Week4): Multiclass Classifications\n\n\u003cdetails\u003e\n      \u003csummary\u003eShow Certificate\u003c/summary\u003e\n           \u003cimg src=\"https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/assets/80858788/2419f77a-51b4-4d12-98f1-e055c56844a5\" alt=\"TensorFlow C2 Certificate\"\u003e\n\u003c/details\u003e\n\n  - ---\n- ### [Natural Language Processing in TensorFlow](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing)\n  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week1): Sentiment in text\n  * [Week 2](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week2): Word Embeddings\n  * [Week 3](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week3): Sequence models\n  * [Week 4](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/3.%20Natural%20Language%20Processing/Week4): Sequence models and literature\n\n\u003cdetails\u003e\n      \u003csummary\u003eShow Certificate\u003c/summary\u003e\n           \u003cimg src=\"https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/assets/80858788/db404ab2-8a86-4f70-8996-f50403522c00\" alt=\"TensorFlow C3 Certificate\"\u003e\n\u003c/details\u003e\n\n  - ---\n- ### [Sequences, Time Series and Prediction](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/4.%20Sequences%2C%20Time%20Series%20and%20Prediction)\n  * [Week 1](https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/tree/master/4.%20Sequences%2C%20Time%20Series%20and%20Prediction/Week1): Sequences and Prediction\n  * [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\n  * [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\n  * [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\n\n \u003cdetails\u003e\n      \u003csummary\u003eShow Certificate\u003c/summary\u003e\n           \u003cimg src=\"https://github.com/CheesyFrappe/deeplearning.ai-tensorflow-developer-course/assets/80858788/4c941293-6583-45aa-9f8a-de8528557121\" alt=\"TensorFlow C4 Certificate\"\u003e\n\u003c/details\u003e\n    \n 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