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--- computer_science:machine_learning [2020/08/07 11:48] – carlossousa
+++ computer_science:machine_learning [2020/08/31 13:38] – [References / Resources:] carlossousa
@@ Line 1: / Line 1: @@
 ====== Machine Learning with Tensorflow ======
-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 =====
-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.
-Our first project will be a simple project to get started with the basics. We will try to have a computer identify an object in an image / video.
+===== Project - Supervised Learning - Image Classification =====
-This project is under the type [[:computer_science:machine_learning:types_of_machine_learning|Machine Learning > Supervised Learning > Classification]]
+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]].
-===== References: =====
+Our first project will be a simple project to get started with the basics which can also be used in real life situation.
+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.
+This project falls under [[:computer_science:machine_learning:types_of_machine_learning|Machine Learning > Supervised Learning > Classification]]
+===== References / Resources: =====
 [[:computer_science:machine_learning:types_of_machine_learning|Types of Machine Learning]]
+[[:computer_science:machine_learning:comprehensive_guide_to_convolutional_neural_networks_eli5_way|Comprehensive Guide to Convolutional Neural Networks (CNN) - The ELI5 Way]]
+[[:computer_science:machine_learning:preventing_overfitting|Preventing Overfitting]]
 ===== External References: =====
+===== Terms and Recaps: =====
+[[:computer_science:machine_learning:machine_learning_terms|Machine Learning Terms]]