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| computer_science:machine_learning [2020/08/07 11:51] – carlossousa | computer_science:machine_learning [2023/12/01 12:07] (current) – external edit 127.0.0.1 |
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| ====== Machine Learning with Tensorflow ====== | ====== Machine Learning with Tensorflow ====== |
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| This process will be done in a **Xubuntu 20.04 LTS **Virtual machine. | This process will be done in a **Xubuntu 20.04 LTS **Virtual machine or on Google Collab. |
| ===== Getting Started ===== | ===== Learning TensorFlow for Deep Learning ===== |
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| First, we will [[:computer_science:linux:xubuntu:install_xubuntu|install Xubuntu]] and [[:computer_science:machine_learning:install_tensorflow_python|install Tensorflow for Python]] and it's [[:computer_science:computer_vision:opencv:requirements_identify_objects_with_tensorflow_opencv_yolo|requirements]]. | To learn MachineLearning I used GoogleFoo - of course - but I also used [[:computer_science:machine_learning:coursera:introduction_tensorflow_artificial_intelligence_deep|Coursera]] and [[:computer_science:machine_learning:udacity:intro_to_tensorflow_for_deep_learning|Udacity]]. While I keep this Wiki mostly for my own notes / research / Knowledge base, if you are looking into getting started yourself I would recommend to check my notes or even better the courses themselfs. While I ended up using [[:computer_science:machine_learning:udacity:intro_to_tensorflow_for_deep_learning|Udacity]] a lot more, due to cost / quality - completly free, great quality -, I would still recommend you do a quick read on my notes on [[:computer_science:machine_learning:coursera:introduction_tensorflow_artificial_intelligence_deep|Coursera]] since they have a very good example on how to understand Machine Learning with a great pratical example. |
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| | ===== Project - Supervised Learning - Image Classification ===== |
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| | First, we will [[:computer_science:linux:xubuntu:install_xubuntu|install Xubuntu]] and [[:computer_science:machine_learning:install_tensorflow_python|install Tensorflow for Python]] and it's [[:computer_science:computer_vision:opencv:object_identification_tensorflow_opencv_imageai_yolo_requirements|requirements]]. |
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| Our first project will be a simple project to get started with the basics which can also be used in real life situation. | Our first project will be a simple project to get started with the basics which can also be used in real life situation. |
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| We will try to have a computer [[:computer_science:computer_vision:opencv:object_identification_tensorflow_opencv_imageai_yolo|identify an object in an image / video]], and this will use Tensorflow, YOLO, OpenCV and ImageAI to archieve that. | We will try to have a computer [[:computer_science:computer_vision:opencv:object_identification_tensorflow_opencv_imageai_yolo|detect an object in an image / video]], and this will use Tensorflow, YOLO, OpenCV and ImageAI to archieve that. |
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| This project is under the type [[:computer_science:machine_learning:types_of_machine_learning|Machine Learning > Supervised Learning > Classification]] | This project falls under [[:computer_science:machine_learning:types_of_machine_learning|Machine Learning > Supervised Learning > Classification]] |
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| ===== References: ===== | ===== References / Resources: ===== |
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| [[:computer_science:machine_learning:types_of_machine_learning|Types of Machine Learning]] | [[:computer_science:machine_learning:types_of_machine_learning|Types of Machine Learning]] |
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| | [[:computer_science:machine_learning:comprehensive_guide_to_convolutional_neural_networks_eli5_way|Comprehensive Guide to Convolutional Neural Networks (CNN) - The ELI5 Way]] |
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| | [[:computer_science:machine_learning:preventing_overfitting|Preventing Overfitting]] |
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| ===== External References: ===== | ===== External References: ===== |
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| | ===== Terms and Recaps: ===== |
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| | [[:computer_science:machine_learning:machine_learning_terms|Machine Learning Terms]] |
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