Packt Hands-on Computer Vision with PyTorch 1 x-XQZT | Apps-Tutorials | MP4 | 1.57 GiB
1 618 kb/s 1920×1080 | AAC 192 kb/s 2 CH eng
Another exquisit release Packt.Hands-on.Computer.Vision.with.PyTorch.1.x-XQZT Title: Hands-on Computer Vision with PyTorch 1.x Publisher: Packt Size: 1.6G (1690070852 B) Files: 7F Date: 03/18/2020 Course #: 9781789614077 Type: N/A Published: 2020-03-12 Modified: N/A URL: subscription.packtpub.com/video/data/9781789614077 Author: Colibri Ltd Duration: N/A Skill: N/A Exer/Code: [X] Installation: Unpack that shit, run that shit Description: Provide computer vision and build systems that rival human sight. Designed for beginners to computer vision or PyTorch.
1.6G Hands-on Computer Vision with PyTorch 1.x [Video] 220M Hands-on Computer Vision with PyTorch 1.x [Video]/1.Getting Started with Computer Vision and PyTorch 58M Hands-on Computer Vision with PyTorch 1.x [Video]/1.Getting Started with Computer Vision and PyTorch/01.The Course Overview.mp4 98M Hands-on Computer Vision with PyTorch 1.x [Video]/1.Getting Started with Computer Vision and PyTorch/02.Getting Started with Computer Vision.mp4 65M Hands-on Computer Vision with PyTorch 1.x [Video]/1.Getting Started with Computer Vision and PyTorch/03.Installing the Latest Version of PyTorch.mp4 256M Hands-on Computer Vision with PyTorch 1.x [Video]/2.Dive into Deep Learning with PyTorch 67M Hands-on Computer Vision with PyTorch 1.x [Video]/2.Dive into Deep Learning with PyTorch/04.Getting Familiar with Deep Learning.mp4 19M Hands-on Computer Vision with PyTorch 1.x [Video]/2.Dive into Deep Learning with PyTorch/05.Getting Started with PyTorch Tensor.mp4 68M Hands-on Computer Vision with PyTorch 1.x [Video]/2.Dive into Deep Learning with PyTorch/06.Building Your First Neural Network.mp4 88M Hands-on Computer Vision with PyTorch 1.x [Video]/2.Dive into Deep Learning with PyTorch/07.Classifying Handwritten Digits with Your Neural Network.mp4 16M Hands-on Computer Vision with PyTorch 1.x [Video]/2.Dive into Deep Learning with PyTorch/08.Getting Familiar with Overfitting and Dataset-Splits.mp4 198M Hands-on Computer Vision with PyTorch 1.x [Video]/3.Working with Cost Functions and Optimizers 30M Hands-on Computer Vision with PyTorch 1.x [Video]/3.Working with Cost Functions and Optimizers/09.Getting to Grips with Cost Functions.mp4 65M Hands-on Computer Vision with PyTorch 1.x [Video]/3.Working with Cost Functions and Optimizers/10.Using Modern Optimizers.mp4 36M Hands-on Computer Vision with PyTorch 1.x [Video]/3.Working with Cost Functions and Optimizers/11.Getting Familiar with Sequential API.mp4 35M Hands-on Computer Vision with PyTorch 1.x [Video]/3.Working with Cost Functions and Optimizers/12.Working with Functional API.mp4 33M Hands-on Computer Vision with PyTorch 1.x [Video]/3.Working with Cost Functions and Optimizers/13.Add Adam Optimizer to Handwritten Digit Recognizer.mp4 243M Hands-on Computer Vision with PyTorch 1.x [Video]/4.Getting Started with Convolutions 57M Hands-on Computer Vision with PyTorch 1.x [Video]/4.Getting Started with Convolutions/14.Introduction to Convolution and Weight Sharing.mp4 48M Hands-on Computer Vision with PyTorch 1.x [Video]/4.Getting Started with Convolutions/15.Using the Padding, Stride, Filter Size, and Channels.mp4 50M Hands-on Computer Vision with PyTorch 1.x [Video]/4.Getting Started with Convolutions/16.Convolutional Layers and Dimension Matching.mp4 59M Hands-on Computer Vision with PyTorch 1.x [Video]/4.Getting Started with Convolutions/17.Building Your First Convolutional Neural Network.mp4 31M Hands-on Computer Vision with PyTorch 1.x [Video]/4.Getting Started with Convolutions/18.Comparing Performance with Multi-Layer Perceptrons.mp4 275M Hands-on Computer Vision with PyTorch 1.x [Video]/5.Deep Learning Building Blocks 31M Hands-on Computer Vision with PyTorch 1.x [Video]/5.Deep Learning Building Blocks/19.Introduction to Pooling.mp4 46M Hands-on Computer Vision with PyTorch 1.x [Video]/5.Deep Learning Building Blocks/20.Getting to Grips with Dropout.mp4 60M Hands-on Computer Vision with PyTorch 1.x [Video]/5.Deep Learning Building Blocks/21.Introduction to Batch Norm.mp4 61M Hands-on Computer Vision with PyTorch 1.x [Video]/5.Deep Learning Building Blocks/22.Understanding Residual Networks.mp4 78M Hands-on Computer Vision with PyTorch 1.x [Video]/5.Deep Learning Building Blocks/23.Implementing Residual Networks from Scratch.mp4 231M Hands-on Computer Vision with PyTorch 1.x [Video]/6.Loading and Manipulating Data with PyTorch 67M Hands-on Computer Vision with PyTorch 1.x [Video]/6.Loading and Manipulating Data with PyTorch/24.Introduction to TorchVision.mp4 78M Hands-on Computer Vision with PyTorch 1.x [Video]/6.Loading and Manipulating Data with PyTorch/25.Taking Advantage of Data Augmentation.mp4 53M Hands-on Computer Vision with PyTorch 1.x [Video]/6.Loading and Manipulating Data with PyTorch/26.Loading Video Datasets.mp4 16M Hands-on Computer Vision with PyTorch 1.x [Video]/6.Loading and Manipulating Data with PyTorch/27.Creating Your Own Dataset.mp4 19M Hands-on Computer Vision with PyTorch 1.x [Video]/6.Loading and Manipulating Data with PyTorch/28.Loading and Saving Models for Transfer Learning.mp4 86M Hands-on Computer Vision with PyTorch 1.x [Video]/7.Neural Style Transfer 15M Hands-on Computer Vision with PyTorch 1.x [Video]/7.Neural Style Transfer/29.Introduction to Neural Style Transfer.mp4 26M Hands-on Computer Vision with PyTorch 1.x [Video]/7.Neural Style Transfer/30.Understanding the Concept of Gram Matrix and Loss Function.mp4 38M Hands-on Computer Vision with PyTorch 1.x [Video]/7.Neural Style Transfer/31.Stylize an Image Using Neural Style Transfer.mp4 8.9M Hands-on Computer Vision with PyTorch 1.x [Video]/7.Neural Style Transfer/32.Exploring Other Neural Style Transfer Techniques.mp4 91M Hands-on Computer Vision with PyTorch 1.x [Video]/8.Generative Adversarial Networks 20M Hands-on Computer Vision with PyTorch 1.x [Video]/8.Generative Adversarial Networks/33.Introduction to Generative Adversarial Networks.mp4 5.3M Hands-on Computer Vision with PyTorch 1.x [Video]/8.Generative Adversarial Networks/34.Understanding Deep Convolutional GANs.mp4 23M Hands-on Computer Vision with PyTorch 1.x [Video]/8.Generative Adversarial Networks/35.Implementing the Generator and Discriminator.mp4 35M Hands-on Computer Vision with PyTorch 1.x [Video]/8.Generative Adversarial Networks/36.Implementing the Training Procedure for GANs.mp4 8.6M Hands-on Computer Vision with PyTorch 1.x [Video]/8.Generative Adversarial Networks/37.Improving Training of GANs.mp4 16M Hands-on Computer Vision with PyTorch 1.x [Video]/Exercise Files 16M Hands-on Computer Vision with PyTorch 1.x [Video]/Exercise Files/code_9781789614077.zip 1.6G total
File: 01.The Course Overview.mp4 Size: 60486392 bytes (57.68 MiB), duration: 00:04:59, avg.bitrate: 1618 kb/s Audio: aac, 48000 Hz, stereo (eng) Video: h264, yuv420p, 1920x1080, 30.00 fps(r) (eng)
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Keywords: Packt, Hands, Computer, Vision, with, PyTorch, XQZT
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