About this video

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.

Style and Approach

The goal of this course is to become familiar with this framework and create your own deep neural networks - a multi-layer perceptron and a convolutional neural network for image classification.

Publication date:
June 2018
Publisher
Packt
Duration
2 hours 8 minutes
ISBN
9781789536249

About the Author

  • Daniel We

    Daniel We is a 29 year old entrepreneur, data scientist and data analytics / visual analytics consultant. He holds a master degree and is certified in Power BI as well as a Qualified Associate in Tableau software. He is currently working in the business intelligence field and helps major companies to get key insights from their data to deliver long term growth and outpace their competitors. He is committed to supporting other people by offering them educational services to help them accomplish their goals and become the best in their profession or explore a new career path.

    Browse publications by this author

Recommended For You

PyTorch for Deep Learning and Computer Vision [Video]

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

By Amer Abdulkader and 2 more
Advanced Deep Learning with Python

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem

By Ivan Vasilev
Hands-On Neuroevolution with Python

Increase the performance of various neural network architectures using NEAT, HyperNEAT, ES-HyperNEAT, Novelty Search, SAFE, and deep neuroevolution

By Iaroslav Omelianenko
AI for Finance [Video]

Explore Machine Learning methods to predict future financial events based on past data

By Jakub Konczyk