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PyTorch Ultimate 2023: From Basics to Cutting-Edge  | Discount Coupon for Udemy Course
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PyTorch Ultimate 2023: From Basics to Cutting-Edge | Discount Coupon for Udemy Course

$9.99 $74.9987% off
Price expires 1 year ago

Become an expert applying the most popular Deep Learning framework PyTorch | Discount Coupon for Udemy Course

(50 ratings)
606 students
Created by:
Last updated 3/2023Course Language EnglishCourse Caption English [CC]Course Length 14:59:58 to be exact 53998 seconds!Number of Lectures 150
This course includes:
  • 15 hours hours of on-demand video
  • 4 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

PyTorch is a Python framework developed by Facebook to develop and deploy Deep Learning models. It is one of the most popular Deep Learning frameworks nowadays. In this course you will learn everything that is needed for developing and applying Deep Learning models to your own data. All relevant fields like Regression, Classification, CNNs, RNNs, GANs, NLP, Recommender Systems, and many more are covered. Furthermore, state of the art models and architectures like Transformers, YOLOv7, or ChatGPT are presented. It is important to me that you learn the underlying concepts as well as how to implement the techniques. You will be challenged to tackle problems on your own, before I present you my solution.In my course I will teach you:Introduction to Deep Learninghigh level understandingperceptronslayersactivation functionsloss functionsoptimizersTensor handlingcreation and specific features of tensorsautomatic gradient calculation (autograd)Modeling introduction, incl. Linear Regression from scratchunderstanding PyTorch model trainingBatchesDatasets and DataloadersHyperparameter Tuningsaving and loading modelsClassification modelsmultilabel classificationmulticlass classificationConvolutional Neural NetworksCNN theorydevelop an image classification modellayer dimension calculationimage transformationsAudio Classification with torchaudio and spectrogramsObject Detectionobject detection theorydevelop an object detection modelYOLO v7, YOLO v8Faster RCNNStyle TransferStyle transfer theorydeveloping your own style transfer modelPretrained Models and Transfer LearningRecurrent Neural NetworksRecurrent Neural Network theorydeveloping LSTM modelsRecommender Systems with Matrix FactorizationAutoencodersTransformersUnderstand Transformers, including Vision Transformers (ViT)adapt ViT to a custom datasetGenerative Adversarial NetworksSemi-Supervised LearningNatural Language Processing (NLP)Word Embeddings IntroductionWord Embeddings with Neural NetworksDeveloping a Sentiment Analysis Model based on One-Hot Encoding, and GloVeApplication of Pre-Trained NLP modelsMiscellaniour TopicsChatGPTResNetExtreme Learning Machine (ELM)Enroll right now to learn some of the coolest techniques and boost your career with your new skills.Best regards,BertWho this course is for:Python developers willing to learn one of the most interesting and in-demand techniques

Course Content:

Sections are minimized for better readability, click the section title to view the course content

7 Lectures | 21:16
3 Lectures | 17:48
8 Lectures | 31:33
3 Lectures | 19:07
12 Lectures | 46:58
3 Lectures | 22:30
15 Lectures | 01:32:59
16 Lectures | 01:04:28
11 Lectures | 01:24:04
5 Lectures | 32:52
13 Lectures | 01:11:35
3 Lectures | 23:48
3 Lectures | 16:02
5 Lectures | 27:21
5 Lectures | 43:54
3 Lectures | 23:08
4 Lectures | 28:30
3 Lectures | 29:38
4 Lectures | 22:36
4 Lectures | 41:48
14 Lectures | 01:36:50
4 Lectures | 39:38
2 Lectures | 01:33
(50 course ratings)






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