From the owner of Makine Öğrenmesi (Machine Learning) channel on YouTube that has 4500+ subscribers that is nearly active for 2 years.

makineogrenmesi

Hi. I am Burak, Industrial Engineering student from Bilkent University. I'm working on Machine Learning/Deep Learning for two years and I have an experience on education/practise of  Convolutional Neural Network.

Nearly 700,000 minutes of Watch Time. Nearly 170,000 view. Have been 700+ conversion on their problems with subscribers.

I know problems you can face with. My plan is to make you familiar with problems under my control to learn better.

You probably started to learn convolutional neural network with MNIST Tutorial, which is a good example.

However, there are some untold mysteries about it. When you tried to apply CNN to your dataset, you probably had problems that you do not know. What are these problems that can be seen when we take the lid off(easy to hard):

• Image Size

• Data Size

• Arranging the Data

• Loading Images

• Preparing Data (with several techniques)

• Imbalanced Dataset

• Several solutions to Imbalanced Dataset

• Small Data

• Solutions to Small Data

• Image Augmentation (Easily handling it with Keras)

• Extreme Image Augmentation using dedicated libraries that can be implemented easily on Keras' fit functions.

This is not a course that I only talk about concepts briefly and code it once. All methods are the methods that you can use for general CNN problems.

Also, we will be in direct contact in Udemy Platform. Every advises and problems will be considered by me. So you aren't only registering for course, you can contact with me for any case of deep learning. I will try to help you about the concepts/codes that we are interested in the course.