Released: 10/2019Duration: 56m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 444 MBLevel: Intermediate | Genre: eLearning | Language: English
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 6.71 GB
Genre: eLearning Video | Duration: 97 lectures (17 hour) | Language: English
Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 7.27 GB
Genre: eLearning Video | Duration: 139 lectures (22 hour, 39 mins) | Language: English
Neural Networks for Computer Vision, Time Series Forecasting, NLP, GANs, Reinforcement Learning, and More!
If you’re looking for hands-on AI practice, this workshop-style coding course was designed for you. Join instructor Janani Ravi as she shows you how to build a neural network with PyTorch Lightning, the open-source library from Python that provides an interface for the popular deep learning framework PyTorch. Explore the core components of building a neural network with PyTorch, including setting up the virtual environment, loading and exploring data, preprocessing data for training, creating and training a simple neural network, setting up the Dataset and DataLoader, visualizing losses, and much more. Along the way, Janani covers the basics of using modules in PyTorch Lightning to build, train, and evaluate both regression and classification models.
Deep Learning for Object Detection with Python and PyTorch
Published 6/2023
Created by Mazhar Hussain
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lectures ( 1h 46m ) | Size: 938 MB