EE-3310 - ATIT Academy

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International Course Outline Image and Video Processing and Machine Learning with Python: A Complete Practical Course for Researchers [Online] Mentor Qais Yousef, Ph.D. in Systems Optimization and Applied Neuroscience, with 10+ years of experience in professional and academic fields. WhatsApp: +962795037290 Email: [email protected] Website: atitgroup.business.site Skype ID: ATITAcademy Youtube Channel: youtube.com/c/ATITAcademy Course Details ▪ Overview This course is for academic researchers to move with them step by step from scratch to advanced knowledge in the field of Image and Video Processing and Machine Learning and its related topics that allow them to be able to implement their ideas and research findings. In this course, participants will learn Python, Image Processing, and Machine Learning from scratch then, based on a systematic learning methodology, will be able to increase their knowledge to a highly-advanced level. This intensive course is the only of its type that provides complete knowledge about almost all the cutting-edge aspects of both Image Processing and Machine Learning in a practical way. This allows the participants to be able to implement any type of related research in any area. Each participant will be worked with individually to start producing a respected project.  Total Time Around 33 Hours – 9 Sessions, between 3 to 4 hours long each. Workshop Sessions ▪ This comprehensive course will be covered over 9 sessions and contains the below topics: 1. Introduction to Image and Video Processing and Machine Learning • Introduction to Image Processing • Introduction to Video Processing • Overview of Machine Learning • Applications • Operations of Image and Video Processing • Practical Examples ATITAcademy Int’l. Amman, Jordan and Bochum, Germany. WhatsApp: +962795037290. Email: [email protected] International 2. Introduction to Python • Python Basics • Installing Python • PIP packages installer • Python Variables • Input and Output • If...Then...Else • Loops • Collections • Functions • Error Handling • Practical Project 3. Python for Image and Video Processing • Image Acquisition • Video Reading • Frame Enhancement • Frame Resizing • Frame as a Matrix • Frame Transformation and Sampling • Important Python Packages for Image and Video Processing ➢ OpenCV ➢ NumPy ➢ Dlip ➢ Keras ➢ Other packages • Practical Project 4. Python for Machine Learning • Supervised Learning • Unsupervised Learning • Machine Learning Algorithms and Their Functionalities ➢ K-Nearest Neighbor algorithm (KNN) ➢ Support Vector Machine (SVM) algorithm ➢ Ensemble Learning algorithm ➢ Multi-layer Perceptron (MLP) • Deep Learning ➢ Convolutional neural networks (CNNs) • Activation Functions: ➢ RELU ➢ Sigmoid ➢ Softmax • Loss Functions: ➢ Mean Square Error ➢ Cross-Entropy Loss • Practical Project 5. Image and Video Features Extraction 1 ATITAcademy Int’l. Amman, Jordan and Bochum, Germany. WhatsApp: +962795037290. Email: [email protected] International • Local Features • Global Features • Edge Detection • Features Normalization • Practical Project 6. Image and Video Features Extraction 2 • Image Segmentation • K-Mean Clustering • Features Selection ➢ Principal Components Analysis (PCA) ➢ ATIT Novel Optimal Features Selection Method • Practical Project 7. Dataset Creation and Annotation (Target Labeling) • 2D Bounding Boxes • 3D Bounding Boxes / Cuboids • Polygons • Lines and Splines • Semantic Segmentation • Practical Project 8. Classification Problem • Supervised Learning • Image Classification in Details • Object Recognition • Single Class vs Multi-Class • CNN in details • Classification Project 1 (General Dataset Selected by Participants) • Classification Project 2 (Medical Dataset) 9. Regression Problem • Recurrent Neural Network (RNN) • Long Short-Term Memory (LSTM) • Object Localization • Object Tracking • Practical Project (General Dataset Selected by Participants) ▪ A complete project will be assigned for participants in each session, (aside from the session-shared projects) to work on at home, and is required to submit it at the beginning of every session starting from the 2nd session. The submitted assignments will be discussed in the next session with each student individually. ▪ Questions and discussions are highly encouraged in each session. ATITAcademy Int’l. Amman, Jordan and Bochum, Germany. WhatsApp: +962795037290. Email: [email protected] International Remarks ▪ Each participant MUST have a suitable computer with a stable internet connection. ATITAcademy Int’l. Amman, Jordan and Bochum, Germany. WhatsApp: +962795037290. Email: [email protected]