Udemy

PyTorch for Deep Learning with Python Bootcamp

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  • 37,735 名學生
  • 更新於 9/2023
4.4
(5,512 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
17 小時 0 分鐘
教學語言
英語
授課導師
Jose Portilla, Pierian Training
評分
4.4
(5,512 個評分)
1次瀏覽

課程簡介

PyTorch for Deep Learning with Python Bootcamp

Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

Welcome to the best online course for learning about Deep Learning with Python and PyTorch!

PyTorch is an open source deep learning platform that provides a seamless path from research prototyping to production deployment. It is rapidly becoming one of the most popular deep learning frameworks for Python. Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more.

This course focuses on balancing important theory concepts with practical hands-on exercises and projects that let you learn how to apply the concepts in the course to your own data sets! When you enroll in this course you will get access to carefully laid out notebooks that explain concepts in an easy to understand manner, including both code and explanations side by side. You will also get access to our slides that explain theory through easy to understand visualizations.

In this course we will teach you everything you need to know to get started with Deep Learning with Pytorch, including:

  • NumPy

  • Pandas

  • Machine Learning Theory

  • Test/Train/Validation Data Splits

  • Model Evaluation - Regression and Classification Tasks

  • Unsupervised Learning Tasks

  • Tensors with PyTorch

  • Neural Network Theory

    • Perceptrons

    • Networks

    • Activation Functions

    • Cost/Loss Functions

    • Backpropagation

    • Gradients

  • Artificial Neural Networks

  • Convolutional Neural Networks

  • Recurrent Neural Networks

  • and much more!

By the end of this course you will be able to create a wide variety of deep learning models to solve your own problems with your own data sets.

So what are you waiting for? Enroll today and experience the true capabilities of Deep Learning with PyTorch! I'll see you inside the course!

-Jose

課程章節

  • 10 個章節
  • 97 堂課
  • 第 1 章 Course Overview, Installs, and Setup
  • 第 2 章 COURSE OVERVIEW CONFIRMATION CHECK
  • 第 3 章 Crash Course: NumPy
  • 第 4 章 Crash Course: Pandas
  • 第 5 章 PyTorch Basics
  • 第 6 章 Machine Learning Concepts Overview
  • 第 7 章 ANN - Artificial Neural Networks
  • 第 8 章 CNN - Convolutional Neural Networks
  • 第 9 章 Recurrent Neural Networks
  • 第 10 章 Using a GPU with PyTorch and CUDA

課程內容

  • Learn how to use NumPy to format data into arrays
  • Use pandas for data manipulation and cleaning
  • Learn classic machine learning theory principals
  • Use PyTorch Deep Learning Library for image classification
  • Use PyTorch with Recurrent Neural Networks for Sequence Time Series Data
  • Create state of the art Deep Learning models to work with tabular data

評價

  • P
    Pouria Modaresi
    1.0

    no detailed explanations of most important things

  • 가영 손
    5.0

    Yes. The lecture is useful for me.

  • B
    Bob Esponjoso
    3.0

    Antiquated material, and light on details, but instructor is understandable.

  • L
    Lars Lofquist
    2.5

    Certain information is outdated, such as versioning. It would help to have an additional disclaimer added regarding whether or not libraries are still available, whether newer versions will still work with this course, and how to get working versions of exisiting libraries. Using the Q&A section solved most of these problems for me, but I would appreciate the instructor including this information in the course itself.

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