Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.
It requires the mathmatical background related to Maching Learning and python skills in the development of applications for the visual recognition tasks. The development of applications are related to the visual recognition tasks in the deep neural network.
Binary or binomial classification is the task of classifying the elements of a given set into two groups (predicting which group each one belongs to) on the basis of a classification rule.
Any library could be used in the deap neural projects. But the backward propagation and forward propagation must be consist of the programmer's own code so that the programmer can exactly understand what the Neural Network is.(not allowed to use library)
-
Binary Classification based on Logistic Regression
-
Binary classification based on 3 layers Neural Network
-
Binary classification based on fully connected Neural Network
-
Image denoising problem based on convolutional Neural Network
- Write programming codes in python
- Use Jupyter Notebook for writing codes
- Include comments and intermediate results in addition to the codes
- Export the Jupyter Notebook file in PDF format Github : https://github.com/Youngminah
Email : kimym7418@gmail.com