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"Deep Learning for Image Analytics" is a comprehensive course designed to explore the transformative
impact of deep learning on the field of image processing and computer vision. This course delves into the
fundamentals of neural networks, including convolutional and recurrent architectures, and their
applications in various image analytics tasks. Students will gain hands-on experience with state-of-the-art
deep learning frameworks like TensorFlow and PyTorch, learning to implement, train, and optimize
models for tasks such as image classification, object detection, and image segmentation. By bridging
theory with practical implementation, the course aims to provide a robust understanding of both the
technical and applied aspects of deep learning in image analytics. Additionally, the curriculum covers
advanced topics like transfer learning and generative adversarial networks (GANs), preparing students to
tackle real-world challenges and stay abreast of current trends and innovations in this rapidly evolving
field.
The objectives of the course are
• Understand deep learning fundamentals and CNN architectures.
• Develop and evaluate CNNs for image classification and object detection.
• Implement generative models and deploy deep learning applications using modern
frameworks.
After completion of the course students will be able to:
• CO1: Explain the basic concepts of neural networks, including activation functions and
backpropagation. (Understand, Remember)
• CO2: Design and implement CNN architectures for various image analytics tasks. (Apply, Create)
• CO3: Utilize advanced CNN architectures and transfer learning for enhanced performance. (Apply,
Analyze)
• CO4: Develop and evaluate models for image classification, object detection, and segmentation.
(Apply, Evaluate)
• CO5: Implement generative models and deploy deep learning applications using TensorFlow,
Keras, and PyTorch. (Apply, Create)
(but not limited to)
Study Material
https://drive.google.com/file/d/1qHsiOa-HvpA-xZSuE5BVEuDGtdHHCVFD/view?usp=sharing
Manual
https://drive.google.com/file/d/1IgFeQ9yUoBzZmUVbJYfzMA3EMyg2XRU_/view?usp=sharing
Study Material
https://drive.google.com/file/d/1WQsD5qUvV06spKGBxUQzK2wZbQNSAHFc/view?usp=sharing
Manual
https://drive.google.com/file/d/1dfGU-P3-B9UDLKNP0dQpHf-Q0QmxNmKi/view?usp=sharing
Study Material
https://drive.google.com/file/d/14LruO8t71F2KgPJn8MVrxK88NNmcwWOR/view?usp=sharing
Manual
https://drive.google.com/file/d/1dSLeMV_YWGsq7JuNMbtxENXS9waGbj0l/view?usp=sharing
Dr. Abhishek Das is presently working as an Assistant Professor in the Department of Computer Science & Engineering, Centurion University of Technology & Management, Paralakhemundi, Odisha, India. He has completed his B.Tech degree from Biju Patnaik University of Technology and M.Tech degree from Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, Odisha, India, in […]