Welcome to the course “Master Computer Vision and Deep Learning with Python OpenCV, TensorFlow and Keras”. In this course you will learn everything from scratch.
First you will learn Python from scratch to object oriented Python. Then you will learn Numpy from very basic to intermediate level. After that you will learn Python OpenCV from very beginning to advance level and then you will learn Matplotlib.
At this stage you will learn about Image Kernels, Artificial Neural Network, Elements of Artificial Neural Network and What is Deep Learning.
You will learn basic to intermediate levels of Tensorflow and you will learn how to play with tensors. You will learn how to create different types of tensors using Tensorflow and run different operations on those tensors.
Finally, it’s time to learn how to create an Artificial Neural Network Model using Tensorflow and Keras and we will create to solve a linear regression problem.
After we learn and create Artificial Neural Network Model using Tensorflow and Keras, now it’s time to implement Deep Neural Network, Convolutional Neural Network and develop multiple projects using Tensorflow, Keras and Convolutional Neural Network. We learn and develop binary image classification, multi-class image classification and real time classification and detection and we will learn and develop through projects by developing about 50 projects.
You will learn through developing projects and writing codes together. We will together develop about 17 projects. I’ve already added 13 projects and about 4 more projects is coming soon. I will try to add at least 2 project per week.
I promise to give you something which no instructor has ever given in any course.