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Course Outline
Introduction
What is AI
- Computational Psychology
- Computational Philosophy
Deep Learning
- Artificial neural networks
- Deep learning vs. machine learning
Preparing the Development Environment
- Installing and configuring OpenCV
OpenCV 4 Quickstart
- Viewing images
- Using color channels
- Viewing videos
Deep Learning Computer Vision
- Using the DNN module
- Working with with deep learning models
- Using SSDs
Neural Networks
- Using different training methods
- Measuring performance
Convolutional Neural Networks
- Training and designing CNNs
- Building a CNN in Keras
- Importing data
- Saving, loading, and displaying a model
Classifiers
- Building and training a classifier
- Splitting data
- Boosting accuracy of results and values
Summary and Conclusion
Requirements
- Basic programming experience
Audience
- Software Engineers
14 Hours
Testimonials (2)
Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject
Ali Kattan - TWPI
Course - Natural Language Processing with TensorFlow
Very updated approach or CPI (tensor flow, era, learn) to do machine learning.
