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.