Deep Learning for Computer Vision with Tensor Flow and Keras
What you'll learn
- Learn about the state of the art models in object detection and image classification models.
Course content
- Preview02:34
- 03:07Before starting read these important guidelines!!
- Preview07:30
- 15:42Install TensorFlow and Keras for CPU and GPU
Requirements
- Machine Learning concepts, Linear Algebra, Python, Tensor Flow, Keras and OpenCV
Description
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 1.X (not 2.x) 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 its principal components and different robust architectures such as VGG-16, ResNet and Inception.
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 through GPU computing running Yolo v2, Yolo v3 and the latest Yolo v4 using Google Colaboratory.
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.
Who this course is for:
- Professionals who wants to learn advanced applications on Computer Vision using deep learning concepts.
Featured review
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Instructor
- 3.9 Instructor Rating
- 1,031 Reviews
- 8,592 Students
- 6 Courses
Industrial Engineer with more than 20 years in developing and managing business, with vast experience on process analysis and developing business information systems for data science. He has an Industrial Engineering degree from Pontificia Universidad Catolica del Peru (Lima-Peru) and Master in Business Administration (MBA) from ESAN Graduated School of Business (Lima-Peru).
He is also an experience developer of machine learning and data science models in many fields of the industry and services like Marketing, Logistics, Finance, Manufacture, Quality Control, Computer Vision, NLP, Deep Learning apps and many others.
He wants to share his experience teaching you on a simple and practical way, illustrating concepts based on graphics for better understanding.