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  1. MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

    MLP-Mixer: An all-MLP Architecture for Vision (Machine Learning Research Paper Explained)

    133
  2. How to train a convolutional neural network using Keras on MNIST dataset

    How to train a convolutional neural network using Keras on MNIST dataset

    17
  4. HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning (w/ Author)

    HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning (w/ Author)

    12
  5. Involution: Inverting the Inherence of Convolution for Visual Recognition (Research Paper Explained)

    Involution: Inverting the Inherence of Convolution for Visual Recognition (Research Paper Explained)

    18
  6. A Historical Overview Of Wireless Bio-Electronic Communications/Telecommunications - The Human Biofield (WBAN) Biological Computing Machines - OH THE LIES WE HAVE BEEN TOLD!

    A Historical Overview Of Wireless Bio-Electronic Communications/Telecommunications - The Human Biofield (WBAN) Biological Computing Machines - OH THE LIES WE HAVE BEEN TOLD!

    31
    1
    3.72K
    3
  7. NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)

    NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)

    15
  8. What's in Your Water? part 3

    What's in Your Water? part 3

    28
    1
  9. IcanX - Intelligent Soft Electronics for Healthcare Monitoring and VR April 21, 2024

    IcanX - Intelligent Soft Electronics for Healthcare Monitoring and VR April 21, 2024

    251
  10. AI vs Humans Artificial Neural Networks Fight With Money Laundering

    AI vs Humans Artificial Neural Networks Fight With Money Laundering

    24
  11. Noether Networks: Meta-Learning Useful Conserved Quantities (w/ the authors)

    Noether Networks: Meta-Learning Useful Conserved Quantities (w/ the authors)

    14
  12. Neural Networks are Decision Trees (w/ Alexander Mattick)

    Neural Networks are Decision Trees (w/ Alexander Mattick)

    9
    1
    47