{"id":15158953,"url":"https://github.com/zaquyn/tensorflow-developer-certificate-bootcamp","last_synced_at":"2026-01-21T16:34:06.183Z","repository":{"id":217064757,"uuid":"743027053","full_name":"ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp","owner":"ZaQuyn","description":"These notebooks contain many foundations in TensorFlow from to fundamental to NLP, Computer Vision and Time series","archived":false,"fork":false,"pushed_at":"2024-01-16T08:40:36.000Z","size":12426,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-07T16:19:47.801Z","etag":null,"topics":["artificial-intelligence","deep-learning","deep-neural-networks","tensorflow","tensorflow-tutorials","tensorflow2"],"latest_commit_sha":null,"homepage":"https://zerotomastery.io/courses/learn-tensorflow/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ZaQuyn.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-01-14T04:48:54.000Z","updated_at":"2024-01-15T09:48:29.000Z","dependencies_parsed_at":"2024-01-16T09:58:57.787Z","dependency_job_id":"0b59ee64-6821-4f67-b91f-c6e56e8e2c93","html_url":"https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp","commit_stats":{"total_commits":7,"total_committers":2,"mean_commits":3.5,"dds":0.1428571428571429,"last_synced_commit":"6dd4c0f978bfb5c5f7cf09bfc30c684eeae06485"},"previous_names":["zaquyn/tensorflow-developer-certificate-bootcamp"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZaQuyn%2FTensorFlow-Developer-Certificate-Bootcamp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZaQuyn%2FTensorFlow-Developer-Certificate-Bootcamp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZaQuyn%2FTensorFlow-Developer-Certificate-Bootcamp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ZaQuyn%2FTensorFlow-Developer-Certificate-Bootcamp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ZaQuyn","download_url":"https://codeload.github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247685634,"owners_count":20979085,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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","deep-learning","deep-neural-networks","tensorflow","tensorflow-tutorials","tensorflow2"],"created_at":"2024-09-26T21:01:38.354Z","updated_at":"2026-01-21T16:34:06.151Z","avatar_url":"https://github.com/ZaQuyn.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TensorFlow Developer Certificate Bootcamp 🔥\n\n## Contents of notebooks 📖\n\n### 🛠 00. TensorFlow Fundamentals\n  * Introduction to tensors (creating tensors)\n  * Getting information from tensors (tensor attributes)\n  * Manipulating tensors (tensor operations)\n  * Tensors and NumPy\n  * Using @tf.function (a way to speed up your regular Python functions)\n  * Using GPUs with TensorFlow\n\n---\n\n### 🛠 01. Neural Network Regression with TensorFlow\n  * Build TensorFlow sequential models with multiple layers\n  * Prepare data for use with a machine learning model\n  * Learn the different components which make up a deep learning model (loss function, architecture, optimization function)\n  * Learn how to diagnose a regression problem (predicting a number) and build a neural network for it\n\n---\n\n### 🛠 02. Neural Network Classification with TensorFlow\n  * Learn how to diagnose a classification problem (predicting whether something is one thing or another)\n  * Build, compile \u0026 train machine learning classification models using TensorFlow\n  * Build and train models for binary and multi-class classification\n  * Plot modelling performance metrics against each other\n  * Match input (training data shape) and output shapes (prediction data target)\n\n---\n\n### 🛠 03. Computer Vision and Convolutional Neural Networks with TensorFlow\n  * Build convolutional neural networks with Conv2D and pooling layers\n  * Learn how to diagnose different kinds of computer vision problems\n  * Learn to how to build computer vision neural networks\n  * Learn how to use real-world images with your computer vision models\n\n---\n\n### 🛠 04. Transfer Learning with TensorFlow Part 1: Feature Extraction\n  * Learn how to use pre-trained models to extract features from your own data\n  * Learn how to use TensorFlow Hub for pre-trained models\n  * Learn how to use TensorBoard to compare the performance of several different models\n\n---\n\n### 🛠 05. Transfer Learning with TensorFlow Part 2: Fine-tuning\n  * Learn how to setup and run several machine learning experiments\n  * Learn how to use data augmentation to increase the diversity of your training data\n  * Learn how to fine-tune a pre-trained model to your own custom problem\n  * Learn how to use Callbacks to add functionality to your model during training\n\n---\n\n### 🛠 06. Transfer Learning with TensorFlow Part 3: Scaling Up (Food Vision mini)\n  * Learn how to scale up an existing model\n  * Learn to how evaluate your machine learning models by finding the most wrong predictions\n  * Beat the original Food101 paper using only 10% of the data\n\n---\n\n### 🛠 07. Milestone Project 1: Food Vision 🍔👁\n  * Combine everything you've learned in the previous 6 notebooks to build Food Vision: a computer vision model able to classify 101 different kinds of foods. Our model well and truly beats the original Food101 paper.\n\n---\n\n### 🛠 08. NLP Fundamentals in TensorFlow\n  * Learn to:\n    * Preprocess natural language text to be used with a neural network\n    * Create word embeddings (numerical representations of text) with TensorFlow\n    * Build neural networks capable of binary and multi-class classification using:\n      * RNNs (recurrent neural networks)\n      * LSTMs (long short-term memory cells)\n      * GRUs (gated recurrent units)\n      * CNNs\n  * Learn how to evaluate your NLP models\n\n---\n\n### 🛠 09. Milestone Project 2: SkimLit 📄🔥\n  * Replicate a the model which powers the PubMed 200k paper to classify different sequences in PubMed medical abstracts (which can help researchers read through medical abstracts faster)\n\n---\n\n### 🛠 10. Time Series fundamentals in TensorFlow 💰📈\n  * Learn how to diagnose a time series problem (building a model to make predictions based on data across time, e.g. predicting the stock price of AAPL tomorrow)\n  * Prepare data for time series neural networks (features and labels)\n  * Understanding and using different time series evaluation methods\n    * MAE — mean absolute error\n  * Build time series forecasting models with TensorFlow\n    * RNNs (recurrent neural networks)\n    * CNNs (convolutional neural networks)\n   \n## Table of materials 📖\nThis table is the ground truth for course materials. All the links you need for everything will be here.\n\n🔑Key:\n* **Number:** The number of the target notebook\n* **Notebook:** The notebook for a particular module with lots of code and text annotations\n* **Data/model:** Links to datasets/pre-trained models for the associated notebook\n\n| Number | Notebook | Data/Model |\n| ----- |  ----- |  ----- |\n| 00 | [TensorFlow Fundamentals](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/00_Tensorflow_Fundamental.ipynb) |  |\n| 01 | [TensorFlow Regression](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/01_Neural_network_regression_with_tensorflow.ipynb) |  |\n| 02 | [TensorFlow Classification](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/02_Classification_neural_network_with_tensorflow.ipynb) |  |\n| 03 | [TensorFlow Computer Vision](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/04_Transfer_learning_in_tensorflow_part_1_feature_extraction.ipynb) | [`pizza_steak`](https://storage.googleapis.com/ztm_tf_course/food_vision/pizza_steak.zip), [`10_food_classes_all_data`](https://storage.googleapis.com/ztm_tf_course/food_vision/10_food_classes_all_data.zip) |\n| 04 | [Transfer Learning Part 1: Feature extraction](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/04_Transfer_learning_in_tensorflow_part_1_feature_extraction.ipynb) | [`10_food_classes_10_percent`](https://storage.googleapis.com/ztm_tf_course/food_vision/10_food_classes_10_percent.zip) |\n| 05 | [Transfer Learning Part 2: Fine-tuning](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/05_Transfer_learning_in_tensorflow_part_2_fine_tuning.ipynb) | [`10_food_classes_10_percent`](https://storage.googleapis.com/ztm_tf_course/food_vision/10_food_classes_10_percent.zip), [`10_food_classes_1_percent`](https://storage.googleapis.com/ztm_tf_course/food_vision/10_food_classes_1_percent.zip), [`10_food_classes_all_data`](https://storage.googleapis.com/ztm_tf_course/food_vision/10_food_classes_all_data.zip) |\n| 06 | [Transfer Learning Part 3: Scaling up](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/06_Transfer_learning_in_tensorflow_part_3_scaling_up.ipynb) | [`101_food_classes_10_percent`](https://storage.googleapis.com/ztm_tf_course/food_vision/101_food_classes_10_percent.zip), [`custom_food_images`](https://storage.googleapis.com/ztm_tf_course/food_vision/custom_food_images.zip), [`fine_tuned_efficientnet_model`](https://storage.googleapis.com/ztm_tf_course/food_vision/06_101_food_class_10_percent_saved_big_dog_model.zip) |\n| 07 | [Milestone Project 1: Food Vision 🍔👁](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/07_Milestone_project_1_food_vision.ipynb), [Template](https://github.com/mrdbourke/tensorflow-deep-learning/blob/main/extras/TEMPLATE_07_food_vision_milestone_project_1.ipynb) | [`feature_extraction_mixed_precision_efficientnet_model`](https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_feature_extract_model_mixed_precision.zip), [`fine_tuned_mixed_precision_efficientnet_model`](https://storage.googleapis.com/ztm_tf_course/food_vision/07_efficientnetb0_fine_tuned_101_classes_mixed_precision.zip) |\n| 08 | [TensorFlow NLP Fundamentals](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/08_Introduction_to_NLP_in_tensorflow.ipynb) | [`diaster_or_no_diaster_tweets`](https://storage.googleapis.com/ztm_tf_course/nlp_getting_started.zip), [`USE_feature_extractor_model`](https://storage.googleapis.com/ztm_tf_course/08_model_6_USE_feature_extractor.zip) |\n| 09 | [Milestone Project 2: SkimLit 📄🔥](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/09_SkimLit_NLP_milestone_project_2.ipynb) | [`pubmed_RCT_200k_dataset`](https://github.com/Franck-Dernoncourt/pubmed-rct.git), [`skimlit_tribrid_model`](https://storage.googleapis.com/ztm_tf_course/skimlit/skimlit_tribrid_model.zip) |\n| 10 | [TensorFlow Time Series Fundamentals \u0026 Milestone Project 3: BitPredict 💰📈](https://github.com/ZaQuyn/TensorFlow-Developer-Certificate-Bootcamp/blob/main/10_Time_series_forecasting_with_tensorflow.ipynb) | [`bitcoin_price_data_USD_2013-10-01_2021-05-18.csv`](https://raw.githubusercontent.com/mrdbourke/tensorflow-deep-learning/main/extras/BTC_USD_2013-10-01_2021-05-18-CoinDesk.csv) |\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzaquyn%2Ftensorflow-developer-certificate-bootcamp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzaquyn%2Ftensorflow-developer-certificate-bootcamp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzaquyn%2Ftensorflow-developer-certificate-bootcamp/lists"}