Presentations

Here you can find CNTK and Deep Learning related presentations:

• Sayan Pathak ** Cognitive Toolkit (CNTK) Deep Dive and Hands-on Tutorial - Nov 2016 ** This YouTube video goes from a high level view, to an intermediate level of detail and then to hands-on tutorials. The first half is a talk and slideware. The later half is hands-on tutorials

• Frank Seide and Amit Agarwal. CNTK: Microsoft's Open-Source Deep-Learning Toolkit. KDD 2016. August 16, 2016. Tutorial description here, Prerequisites page here; slides [here](https://cntk.ai/kdd/CNTK Hands-On KDD2016, Frank Seide and Amit Agarwal.zip); video here, note: 3 parts. This 3-hour hands-on tutorial covers the following topics:

  • what: ...is CNTK? Including an introduction into the core concept of CNTK, the "computational network."
  • how: ...does a typical use of CNTK look like? Configuration of key components, workflow.
  • deep dive: ...into unique CNTK technologies. Automatic unrolling of time & efficient minibatching of variable-length sequences; data-parallel training with 1-bit SGD and Block Momentum.
  • hands-on tutorials:
    • hello world: getting set up, running a first logistic regression task
    • language understanding: slot and intent tagging on the ATIS language-understanding corpus. Available online
    • image recognition: with convolutional nets, batch normalization, and residual networks using the CIFAR-10 corpus Available online

• Frank Seide. CNTK: Microsoft's Open-Source Deep-Learning Toolkit. Microsoft Research Latin American Faculty Summit. May 19, 2016. Video and Slides. The 1-hour talk covers the following topics:

  • what: ...is CNTK? Including an introduction into the core concept of CNTK, the "computational network."
  • how: ...does a typical use of CNTK look like? Configuration of key components, workflow.
  • deep dive: ...into unique CNTK technologies. Automatic unrolling of time & efficient minibatching of variable-length sequences; data-parallel training with 1-bit SGD and Block Momentum.
  • examples: source code walk-through. For ResNet image classification and sequence-to-sequence modeling with attention.

• Alexey Kamenev. Deep Learning in Microsoft with CNTK. GPU Technology Conference. April 2016. Video and Slides.