Linear Regression with PyTorch
Channel: The Life Code
Date: 2022-12-14

In this Deep Learning tutorial, you will learn the basics of PyTorch, Linear Regression with PyTorch, Working with Image Data in PyTorch, Image Classification using Convolutional Neural Networks, Residual Networks, Data Augmentation and Regularization Techniques, and Generative Adverserial Networks
PyTorch Tutorial for Beginners
☞ https://morioh.com/p/deaf2f23fbc6
Applied Deep Learning with PyTorch - Full Course
☞ https://morioh.com/p/433f0ddf1da6
PyTorch Tutorial - Deep Learning Using PyTorch - Learn PyTorch from Basics to Advanced
☞ https://morioh.com/p/4a3553a93bc6

In this Deep Learning tutorial, you will learn the basics of PyTorch, Linear Regression with PyTorch, Working with Image Data in PyTorch, Image Classification using Convolutional Neural Networks, Residual Networks, Data Augmentation and Regularization Techniques, and Generative Adverserial Networks


Topics Covered:

    1. Introduction to Machine Learning & Deep Learning
    2. Introduction on how to use Jovian platform
    3. Introduction to PyTorch: Tensors & Gradients
    4. Interoperability with Numpy
    5. Linear Regression with PyTorch
        - System setup
        - Training data
        - Linear Regression from scratch
        - Loss function
        - Compute gradients
        - Adjust weights and biases using gradient descent
        - Train for multiple epochs
        - Linear Regression using PyTorch built-ins
        - Dataset and DataLoader
        - Using nn.Linear 
        - Loss Function
        - Optimizer
        - Train the model
        - Commit and update the notebook
    7. Sharing Jupyter notebooks online with Jovian
    
What you’ll learn

        Introduction to Machine Learning and Deep Learning
        PyTorch Basics: Tensors & Gradients
        Linear Regression with PyTorch
        Working with Image Data in PyTorch
        Image Classification using Convolutional Neural Networks
        Residual Networks, Data Augmentation and Regularization Techniques
        Generative Adverserial Networks

Are there any course requirements or prerequisites?

        Basic Linear Algebra (matrix multiplication)
        Basic Python Programming
        Basic Calculus (Derivatives)

Who this course is for:

        Beginner Python developers curious about Deep Learning and PyTorch

#PyTorch #DeepLearning #Morioh

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