Artificial Intelligence
Deep Learning Projects
I trained the model with all following aspects:
- Baseline Neural Network (Import Libraries, Load Data, Prepare partitions(train, test and validation data), label encoding and One hot encoding if needed, Make Model, Make Compiler, Train Model, Evaluate Model and Save Model)
- Baseline Model With Data Standarization
- Evaluate a Smaller Network (small Dense Layers)
- Evaluate a very Smaller Network that Underfit
- Evaluate a larger Network (Large Dense Layers)
- Evaluate a very Larger Network that Overfit
- Tuning the Model (Change Optimizer and number of Epochs)
- Visualization of Epochs(Accuracy and Loss) through Matplotlib
- Use Dropout and Weight Regularization for best results
1- Binary Classification Sonar Dataset
to see my code Click Here
2- Multiclass Classification Iris Dataset
to see my code Click Here
3- Regression Housing Dataset
to see my code Click Here
4- Save & Load Keras Model
to see my code Click Here
5- Face Detection with Keras MTCNN
to see my code Click Here
Python Flask Project
1- GraphQl-Mongodb-API
to see my code Click Here
2- PostgreSQL-Todo-APP-Unit-Testing
to see my code Click Here
3- Todo-APP-Unit-Testing-Mongodb
to see my code Click Here
Gatsby React Project
I design this websites with Gatsby, React, HTML5, Sass(CSS) and Java Script.
Some of the following websites made by me
1- Umair Zaki Resume
to see my website Click Here
2- Umair Zaki
to see my website Click Here
3- PIAIC New
to see my website Click Here
4- PIAIC For Learning
to see my website Click Here
