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 likely one of the hottest Deep Studying frameworks these days.

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

It is very important me that you just study the underlying ideas in addition to implement the strategies. You may be challenged to deal with issues by yourself, earlier than I current you my resolution.

In my course I’ll train you:

• Introduction to Deep Studying
  • excessive stage understanding
  • perceptrons
  • layers
  • activation features
  • loss features
  • optimizers
• Tensor dealing with
  • creation and particular options of tensors
  • automated 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 concept
  • develop a picture classification mannequin
  • layer dimension calculation
  • picture transformations
  • Audio Classification with torchaudio and spectrograms
• Object Detection
  • object detection concept
  • develop an object detection mannequin
  • YOLO v7, YOLO v8
  • Sooner RCNN
• Model Switch
  • Model switch concept
  • growing your personal model switch mannequin
• Pretrained Fashions and Switch Studying
• Recurrent Neural Networks
  • Recurrent Neural Community concept
  • growing 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-Educated NLP fashions
• Mannequin Debugging
  • Hooks
• Mannequin Deployment
  • deployment methods
  • deployment to on-premise and cloud, particularly Google Cloud
• Miscellanious Subjects
  • ChatGPT
  • ResNet
  • Excessive Studying Machine (ELM)

Enroll proper now to study a few of the coolest strategies and increase your profession along with your new abilities.

Finest regards,

Bert