Deep learning and neural networks in PyTorch for beginners / [instructor, Daniel We].
- Additional Titles:
- Deep learning & neural networks in pytorch for beginners
- Published:
- Birmingham, England : PACKT Publishing, 2018.
- Physical Description:
- 1 online resource (128 minutes)
- Additional Creators:
- We, Daniel and Packt Publishing
- Access Online:
- ezaccess.libraries.psu.edu
- Language Note:
- In English.
- 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!
- Subject(s):
- Genre(s):
- Duration:
- ["02:08:20"]
- Digital File Characteristics:
- video file
- Note:
- Title from resource description page (viewed June 07, 2019).
- Participant/Performer Note:
- Presenter: Daniel We.
View MARC record | catkey: 29637183