PyTorch Ultimate 2024: From Basics to Cutting-Edge

PyTorch is a Python framework developed by Fb to develop and deploy Deep Studying fashions. It is among the hottest Deep Studying frameworks these days.

On this course you’ll study every part that’s wanted for creating and making use of Deep Studying fashions to your personal knowledge. All related fields like Regression, Classification, CNNs, RNNs, GANs, NLP, Recommender Techniques, and plenty of extra are lined. Moreover, state-of-the-art fashions and architectures  like Transformers, YOLOv7, or ChatGPT are offered.

You will need to me that you just study the underlying ideas in addition to how you can implement the methods. You can be challenged to deal with issues by yourself, earlier than I current you my answer.

In my course I’ll train you:

• Introduction to Deep Studying
  • excessive stage understanding
  • perceptrons
  • layers
  • activation capabilities
  • loss capabilities
  • optimizers
• Tensor dealing with
  • creation and particular options of tensors
  • computerized gradient calculation (autograd)
• Modeling introduction, incl.
  • Linear Regression from scratch
  • understanding PyTorch mannequin coaching
  • Batches
  • Datasets and Dataloaders
  • Hyperparameter Tuning
  • saving and loading fashions
• Classification fashions
  • multilabel classification
  • multiclass classification
• Convolutional Neural Networks
  • CNN principle
  • develop a picture classification mannequin
  • layer dimension calculation
  • picture transformations
  • Audio Classification with torchaudio and spectrograms
• Object Detection
  • object detection principle
  • develop an object detection mannequin
  • YOLO v7, YOLO v8
  • Sooner RCNN
• Type Switch
  • Type switch principle
  • creating your personal type switch mannequin
• Pretrained Fashions and Switch Studying
• Recurrent Neural Networks
  • Recurrent Neural Community principle
  • creating LSTM fashions
• Recommender Techniques with Matrix Factorization
• Autoencoders
• Transformers
  • Perceive Transformers, together with Imaginative and prescient Transformers (ViT)
  • adapt ViT to a customized dataset
• Generative Adversarial Networks
• Semi-Supervised Studying
• Pure Language Processing (NLP)
  • Phrase Embeddings Introduction
  • Phrase Embeddings with Neural Networks
  • Growing a Sentiment Evaluation Mannequin primarily based on One-Scorching Encoding, and GloVe
  • Utility of Pre-Skilled NLP fashions
• Mannequin Debugging
  • Hooks
• Mannequin Deployment
  • deployment methods
  • deployment to on-premise and cloud, particularly Google Cloud
• Miscellanious Matters
  • ChatGPT
  • ResNet
  • Excessive Studying Machine (ELM)

Enroll proper now to study a few of the coolest methods and increase your profession together with your new expertise.

Greatest regards,

Bert