Machine Learning - Deep Learning (Network)

Thomas Bayes

Machine Learning - Deep Learning (Network)


Deep Learning (Networks) is an algorithms which is basically neural networks with many layers.

Deep learning is also known as:

  • deep machine learning,
  • deep structured learning,
  • hierarchical learning,
  • or DL

Deep learning has been characterized as a buzzword, or a rebranding of neural networks.

These systems are made up of many layers with artificial neurons. Each layer learns certain properties, recognizing structure in the incoming information flow; for example vertical lines, rectangles, faces, or facial expressions. The first layers learn simple structures, while the later layers learn more complex properties on this basis.


  • Speech recognition



  • Keras (layer on top of Tensorflow, Cntk or Theano)
  • Python package that provides two high-level features: Tensor computation (like NumPy) with strong GPU acceleration and Deep neural networks built on a tape-based autograd system.



Documentation / Reference

Recommended Pages
Utah Teapot

Recreate a picture region to restore it. Give the region to repaint with what's called a mask Repaint Remove object from photos (Improve skin, remove watermark) Repair old photos ...
Pytorch Installation Options

deep learning framework Prerequisites: CUDA - It is recommended, but not required, that your Windows system has an NVIDIA GPU in order to harness the full power of PyTorch’s CUDA...

Share this page:
Follow us:
Task Runner