Hello there. Thanks for dropping by. This is a repo where I store all my Deep Learning Projects. Personally, I have strong interest in Deep Learning, specifically in Computer Vision. Therefore, most of my projects will be Computer Vision-related.
I'm still learning tho, feel free to give comment or feedback if any via Discord nelsonwong98#1244 on how I can improve or mistake made, will appreciate it!
- Cat vs Dog Classfication --> Classifying if image consist cat or dog.
- Rock-Paper-Scissor --> Identify hand sign(whether it is Rock, Paper or Scissor) shown.
- Cassava Leaf Disease Classification --> Identify the type of disease present on a Cassava Leaf image. ( a Kaggle Competition)
- Face Detection with Haar Cascade --> Detect Hyun Bin & Son Ye Jin's faces with Haar Cascade approach.
- Genetic Algorithm with Python --> Understanding Genetic Algorithm with Python(without libraries)
- Comparing Hyper-parameter Tuning using Cross Validation Grid Search and Genetic Algorithm with PyGAD
Goal: As per the title. Here, I will build a prediction model with Deep Learning approach with Tensorflow's Keras.
- Predicting Student Performance(Empirically) --> Empirically tune hyper-parameters
- Predicting Student Performance(SKLearn's GridSearchCV) --> Tune hyper-parameters with Sci-Kit Learn's GridSearchCV
- Predicting Student Performance(Genetic Algorithm with PyGAD) --> Tune hyper-parameters with GA using PyGAD
- Predicting Student Performance(Genetic Algorithm with Trained Model + PyGAD) --> Tune GA hyper-parameters using PyGAD of a trained Model
- Some Findings, Comparison, Summary --> Summary of this learning "series"