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Image recognition using Intel dataset and computer vision for Final Year Engineering Project

Abstract:
Deep learning has seen significant advancements with the widespread use of Artificial Neural Networks. In the realm of deep learning, Convolutional Neural Networks (CNNs) have emerged as a crucial type of feed-forward ANN, particularly for visual image analysis. This research focuses on understanding and implementing CNNs for image classification using popular deep learning frameworks such as Tensor Flow, Keras, and Theano. The main objective is to demystify CNNs and provide a comprehensive understanding of their concepts. A custom CNN model is trained using an Intel dataset, and various loss functions are integrated to support multi-image categorization. If you are seeking a final year engineering project in the field of image recognition using computer vision and the Intel dataset, we, Smart AI Technologies, offer comprehensive support services. Our support includes the following:




Complete implementation of working code on clients' machines.



Conducting dedicated classes and guidance throughout the project.


Documentation support for your project.

Research assistance without any additional cost or price increase.
With our expertise in final year engineering projects, we ensure the best project outcomes in the field of computer science. Contact us now to avail our services.

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