PyTorch Ultimate 2023: From Basics to Cutting-Edge

Become an expert applying the most popular Deep Learning framework PyTorch

PyTorch Ultimate 2023: From Basics to Cutting-Edge
PyTorch Ultimate 2023: From Basics to Cutting-Edge

PyTorch Ultimate 2023: From Basics to Cutting-Edge udemy course

Become an expert applying the most popular Deep Learning framework PyTorch

What you'll learn:

  • learn all relevant aspects of PyTorch from simple models to state-of-the-art models
  • CNNs (Image-, Audio-Classification; Object Detection), RNNs, Transformers, Style Transfer, Autoencoders, GANs
  • adapt top-notch algorithms like Transformers to custom datasets
  • develop CNN models for image classification, object detection, Style Transfer
  • develop RNN models, Autoencoders, Generative Adversarial Networks
  • learn about new frameworks (e.g. PyTorch Lightning) and new models like OpenAI ChatGPT
  • use transfer learning

Requirements:

  • basic Python knowledge

Description:

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, 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 Learning

    • high level understanding

    • perceptrons

    • layers

    • activation functions

    • loss functions

    • optimizers

  • Tensor handling

    • creation and specific features of tensors

    • automatic gradient calculation (autograd)

  • Modeling introduction, incl.

    • Linear Regression from scratch

    • understanding PyTorch model training

    • Batches

    • Datasets and Dataloaders

    • Hyperparameter Tuning

    • saving and loading models

  • Classification models

    • multilabel classification

    • multiclass classification

  • Convolutional Neural Networks

    • CNN theory

    • develop an image classification model

    • layer dimension calculation

    • image transformations

    • Audio Classification with torchaudio and spectrograms

  • Object Detection

    • object detection theory

    • develop an object detection model

    • YOLO v7, YOLO v8

    • Faster RCNN

  • Style Transfer

    • Style transfer theory

    • developing your own style transfer model

  • Pretrained Models and Transfer Learning

  • Recurrent Neural Networks

    • Recurrent Neural Network theory

    • developing LSTM models

  • Autoencoders

  • Transformers

    • Understand Transformers, including Vision Transformers (ViT)

    • adapt ViT to a custom dataset

  • Generative Adversarial Networks

  • Semi-Supervised Learning

  • Miscellaniour Topics

    • ChatGPT

    • ResNet

    • Extreme Learning Machine (ELM)


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


Best regards,

Bert

Who this course is for:

Course Details:

  • 12.5 hours on-demand video
  • 4 articles
  • Closed captions
  • Audio description in existing audio
  • Certificate of completion

PyTorch Ultimate 2023: From Basics to Cutting-Edge udemy free download

Become an expert applying the most popular Deep Learning framework PyTorch

Demo Link: https://www.udemy.com/course/pytorch-ultimate/