Deep Learning Computer Vision is the name of the video learning suite in the development of programming languages and in the computer vision field (Computer Vision). In fact, during this course you will be well acquainted with the field of computer vision from the most advanced concepts and skills to the most advanced techniques. In fact, you will become a computer vision expert with the help of Deep Learning using the Python and Keras programming language. This video course also provides you with the latest and latest concepts and techniques.
The main feature of this practical learning course is Computer Vision Knowledge. This means that you will understand exactly how to work with this computer science by doing 28 actual projects while watching this course. This course is also offered for those interested in artificial intelligence. You also need to know the mathematics skills of your secondary school to watch this course. Experience working with programming languages is also a plus for better understanding concepts.
Courses taught in this course:
- Learn and understand basic to advanced topics step-by-step
- Introduction to VGG, MobileNet, InceptionV3, ResNet50 models and how to work with them
- Learn and understand Neural Networks and its applications
- Learn about different frameworks such as PyTorch, Caffe, MXNET and more
- Learn how to use the Python Keras library to build complex networks
Deep Learning Computer Vision course specifications:
- English language
- Duration: 14 hours 32 minutes
- Number of lessons: 176
- Level of training: Advanced
- Instructor: Rajeev Ratan
- File format: mp4
Deep Learning Computer Vision course headings
Prerequisites for Deep Learning Computer Vision course
- Basic programming knowledge is a plus but not a requirement
- High school level math, College level would be a bonus
- Atleast 20GB of storage for Virtual Machine and Datasets
- A Windows, MacOS or Linux OS
Sample movie Deep Learning Computer Vision
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Version 2020/3 has a 70 MB volume increase compared to 2019/4. No other changes are available.
File password (s): www.downloadly.ir