Deep learning and neural networks in PyTorch for beginners / [instructor, Daniel We].

Format:

Video

Contributor:

We, Daniel, speaker.

Packt Publishing, production company.

Series:

Academic Video Online

Language:

English

Subjects (All):

Neural networks (Computer science).

Artificial intelligence.

Python (Computer program language).

Machine learning.

Genre:

Instructional films.

Physical Description:

1 online resource (128 minutes)

Other Title:

Deep learning & neural networks in pytorch for beginners

Place of Publication:

Birmingham, England : PACKT Publishing, 2018.

Language Note:

In English.

System Details:

video file

Summary:

Getting started with neural networks in PyTorch - Facebook's great neural network framework. About This Video: Requires only basic knowledge in Python and Math. It's a beginner's course but experience with neural networks is certainly an advantage. In Detail: Artificial intelligence (AI) is the hottest topic currently out there, there's no doubt about that. This is the future. Neural networks in particular have seen a lot of attention and they will be used everywhere -self driving cars, predictions in finance and sales forecasts - everywhere and across all industries. To be successful in the working world of tomorrow we have to expose ourselves to this interesting topic - and from the author's personal experience - coding your own neural network is the best way to understand how they work. Besides TensorFlow there is a new very interesting deep learning framework which is developed by Facebook - PyTorch. A challenge? Indeed. But together we can do it. Excited? I hope so. See you in the first lecture. Let's get into it. We got a lot to do - let's get into it!

Participant:

Presenter: Daniel We.

Notes:

Title from resource description page (viewed June 07, 2019).

OCLC:

1046057361