When.com Web Search

Search results

  1. Results From The WOW.Com Content Network
  2. List of engineering colleges affiliated to Visvesvaraya ...

    en.wikipedia.org/wiki/List_of_engineering...

    There are 219 engineering colleges affiliated to Visvesvaraya Technological University (VTU), which is in Belgaum in the state of Karnataka, India. [1] This list is categorised into two parts, autonomous colleges and non-autonomous colleges. Autonomous colleges are bestowed academic independence allowing them to form their own syllabus and ...

  3. Andrew Ng - Wikipedia

    en.wikipedia.org/wiki/Andrew_Ng

    His machine learning course CS229 at Stanford is the most popular course offered on campus with over 1,000 students enrolling some years. [ 24 ] [ 25 ] As of 2020, three of most popular courses on Coursera are Ng's: Machine Learning (#1), AI for Everyone (#5), Neural Networks and Deep Learning (#6).

  4. Deep learning - Wikipedia

    en.wikipedia.org/wiki/Deep_learning

    Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.

  5. Visvesvaraya Technological University - Wikipedia

    en.wikipedia.org/wiki/Visvesvaraya_Technological...

    Visvesvaraya Technological University (VTU) was established by the Government of Karnataka on 1 April 1998 with its headquarters at Belagavi, as per the provisions of the Visvesvaraya Technological University Act, 1994, an Act to establish and incorporate a university in the State of Karnataka for the development of engineering, technology and allied sciences.

  6. Fine-tuning (deep learning) - Wikipedia

    en.wikipedia.org/wiki/Fine-tuning_(deep_learning)

    In deep learning, fine-tuning is an approach to transfer learning in which the parameters of a pre-trained neural network model are trained on new data. [1] Fine-tuning can be done on the entire neural network, or on only a subset of its layers, in which case the layers that are not being fine-tuned are "frozen" (i.e., not changed during backpropagation). [2]

  7. Deep reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Deep_reinforcement_learning

    Deep learning methods, often using supervised learning with labeled datasets, have been shown to solve tasks that involve handling complex, high-dimensional raw input data (such as images) with less manual feature engineering than prior methods, enabling significant progress in several fields including computer vision and natural language ...

  8. Layer (deep learning) - Wikipedia

    en.wikipedia.org/wiki/Layer_(Deep_Learning)

    A layer in a deep learning model is a structure or network topology in the model's architecture, which takes information from the previous layers and then passes it to the next layer. Layer types [ edit ]

  9. SlideShare - Wikipedia

    en.wikipedia.org/wiki/SlideShare

    SlideShare is an American hosting service, now owned by Scribd, for professional content including presentations, infographics, documents, and videos. Users can upload files privately or publicly in PowerPoint, Word, or PDF format. Content can then be viewed on the site itself, on mobile devices or embedded on other sites.