PyTorch Ultimate 2024: From Basics to Cutting-Edge

Data science Development Free courses freecoupons PyTorch Udemy Courses free

COURSE AUTHOR –
Bert Gollnick

Last Updated on May 9, 2024 by GeeksGod

Course : PyTorch Ultimate 2024: From Basics to Cutting-Edge

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 modelsModel DebuggingHooksModel Deploymentdeployment strategiesdeployment to on-premise and cloud, specifically Google CloudMiscellanious TopicsChatGPTResNetExtreme Learning Machine (ELM)

Enroll right now to learn some of the coolest techniques and boost your career with your new skills.

Best regards,

Bert

Udemy Coupon :

LEARN2CODE2024_05

What you will learn :

1. learn all relevant aspects of PyTorch from simple models to state-of-the-art models
2. deploy your model on-premise and to Cloud
3. Transformers
4. Natural Language Processing (NLP), e.g. Word Embeddings, Zero-Shot Classification, Similarity Scores
5. CNNs (Image-, Audio-Classification; Object Detection)
6. Style Transfer
7. Recurrent Neural Networks
8. Autoencoders
9. Generative Adversarial Networks
10. Recommender Systems
11. adapt top-notch algorithms like Transformers to custom datasets
12. develop CNN models for image classification, object detection, Style Transfer
13. develop RNN models, Autoencoders, Generative Adversarial Networks
14. learn about new frameworks (e.g. PyTorch Lightning) and new models like OpenAI ChatGPT
15. use Transfer Learning