by Daniel We | Released June 2018 | ISBN: 9781789536249

Getting started with neural networks in PyTorch - Facebook's great neural network frameworkAbout This VideoRequires only basic knowledge in Python and MathIt's a beginner's course but experience with neural networks is certainly an advantageIn DetailArtificial 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. Show and hide more Publisher Resources Download Example Code

1. Chapter 1 : We got a lot to do - let's get into it!
   • Why taking this course? Because... 00:02:03
   • 2 How to install pytorch 00:01:22
   • 3 The fundamentals 00:10:20
   • 4 understanding gradient descent 00:20:20
   • 5 transition to pytorch 00:12:23
   • 6 linear regression in pytorch 00:18:26
   • 7 A deep Neural Network in Pytorch 5 00:21:42
   • 8 Convolutional Neural Networks basics 00:04:21
   • 9 Convolutional Neural Networks in pytorch 1 00:10:00
   • 10 Convolutional Neural Networks CNN in pytorch 2 00:14:54
   • 11 Convolutional Neural Networks CNN in pytorch 3 Final Test 00:11:33
   • 12 Congratulation 00:00:53
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