Deep Learning

  • Deep Learning is a subset of machine learning inspired by the structure and function of the human brain, specifically, neural networks.
  • It focuses on algorithms known as artificial neural networks (ANNs), particularly deep neural networks, which consist of multiple layers that progressively extract higher-level features from raw input.
  • Unlike traditional ML algorithms, which often require manual feature engineering, deep learning models learn directly from raw inputs like images, audio, or text.

Applications of Deep Learning

  • Computer Vision – Object detection, face recognition, medical imaging
  • Natural Language Processing – Machine translation, sentiment analysis, chatbots
  • Speech Recognition – Voice assistants, transcription
  • Recommendation Systems – Netflix, Amazon, YouTube
  • Autonomous Vehicles – Scene understanding, path planning

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I am an enthusiastic advocate for the transformative power of data in the fashion realm. Armed with a strong background in data science, I am committed to revolutionizing the industry by unlocking valuable insights, optimizing processes, and fostering a data-centric culture that propels fashion businesses into a successful and forward-thinking future. - Masud Rana, Certified Data Scientist, IABAC

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