This course is focused in the application of Deep Learning for
image classification and object detection. This course includes a
review of the main lbraries for Deep Learning such as Tensor Flow
and Keras, the combined application of them with OpenCV and also
covers a concise review of the main concepts in Deep Learning. We
will also enter in the study of Convolutional Neural Networks for
image classification reviewing different robust architectures.
We will explore the concepts of Object Detecting and Transfer Learning using the last state of the art algorithms for object detection such as Faster R-CNN, TensorFlow Object Detection API and YOLO, applying this models on images, videos, and webcam images. Finally you will learn how to construct and train your own dataset.
You will find in this course a consice review of the theory with intuitive concepts of the algorithms, and you will be able to put in practice your knowledge with many practical examples.
- Installation and Setup
- TensorFlow and Keras Overview
- Deep Learning Overview
- Convolutional Neural Networks
- Creating an Image Dataset
- Object Detection and Transfer Learning
- Bonus Classes