How does backpropagation work in deep learning?

The question is about deep learning

Answer

Backpropagation is a key algorithm used in training deep learning models. It involves a forward pass where inputs are fed through the network to generate predictions, followed by a backward pass to calculate gradients. These gradients are used to update the model's weights, minimizing the error between predictions and actual outcomes. Backpropagation iteratively adjusts weights to optimize the model's performance, making it essential for effectively training neural networks and improving their accuracy over time.

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Zeeshan S., Junior Software Engineer - AI, Deep Learning and General Development at Softaims

Zeeshan S.

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Zeeshan S. | SoftaimsMember Since 2024
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My name is Zeeshan S. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Computer Vision, Machine Learning, PyTorch, Natural Language Processing, etc.. I hold a degree in Master of Engineering (MEng), Bachelor of Science in Information Technology. Some of the notable projects I’ve worked on include: Kaisa, Dealer Pull, SoulMachine, CityScape, Termina, etc.. I am based in Columbus, United States. I've successfully completed 8 projects while developing at Softaims. I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process. I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape. My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

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Ebenge U., Software Engineer - AI, Deep Learning and Generative AI Platforms at Softaims

Ebenge U.

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My name is Ebenge U. and I have over 3 years of experience in the tech industry. I specialize in the following technologies: Deep Learning, Model Optimization, Machine Learning Model, Machine Learning, Natural Language Processing, etc.. I hold a degree in Bachelor of Science (BS), Master of Science (MS), Doctor of Philosophy (PhD), Master of Computer Science (MSCS). Some of the notable projects I've worked on include: OpenAI Experience - LangChain Developer, OpenAI Experience - Prompt Engineer, OpenAI Experience - Prompt Engineer. I am based in Bezons, France. I've successfully completed 3 projects while developing at Softaims. I thrive on project diversity, possessing the adaptability to seamlessly transition between different technical stacks, industries, and team structures. This wide-ranging experience allows me to bring unique perspectives and proven solutions from one domain to another, significantly enhancing the problem-solving process. I quickly become proficient in new technologies as required, focusing on delivering immediate, high-quality value. At Softaims, I leverage this adaptability to ensure project continuity and success, regardless of the evolving technical landscape. My work philosophy centers on being a resilient and resourceful team member. I prioritize finding pragmatic, scalable solutions that not only meet the current needs but also provide a flexible foundation for future development and changes.

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Gaber Y., Senior Software Engineer - AI, Machine Learning and Deep Learning Platforms at Softaims

Gaber Y.

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Jorge M., Senior Software Engineer - AI, Deep Learning and NLP Platforms at Softaims

Jorge M.

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Youcef O., Senior Software Engineer - AI, Deep Learning and AI Platforms at Softaims

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Wamiq R., Lead Software Engineer - AI, Deep Learning and Generative AI Platforms at Softaims

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Waleed S., Junior Software Engineer - AI, Machine Learning and Deep Learning Platforms at Softaims

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Rakebun L., Senior Software Engineer - AI, Python and Deep Learning Platforms at Softaims

Rakebun L.

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My name is Rakebun L. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Python, TensorFlow, Deep Learning, Neural Network, Natural Language Processing, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I've worked on include: AI-Powered Multimodal Document Assistant using Google Gemini API, Doc Insight — AI-Powered PDF Q&A Tool, Breast Cancer Segmentation using U-net Architecture, Multilingual Speech-to-Text Transcription using Wav2Vec2. I am based in Dhaka, Bangladesh. I've successfully completed 4 projects while developing at Softaims. My passion is building solutions that are not only technically sound but also deliver an exceptional user experience (UX). I constantly advocate for user-centered design principles, ensuring that the final product is intuitive, accessible, and solves real user problems effectively. I bridge the gap between technical possibilities and the overall product vision. Working within the Softaims team, I contribute by bringing a perspective that integrates business goals with technical constraints, resulting in solutions that are both practical and innovative. I have a strong track record of rapidly prototyping and iterating based on feedback to drive optimal solution fit. I'm committed to contributing to a positive and collaborative team environment, sharing knowledge, and helping colleagues grow their skills, all while pushing the boundaries of what's possible in solution development.

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Hissaan A., Senior Software Engineer - AI, Python and Deep Learning Platforms at Softaims

Hissaan A.

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Dubai
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