Understanding pyTorch for beginners

[mitsumi]

Understanding pyTorch for beginners
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 776 MB
Genre: eLearning Video | Duration: 19 lectures (1 hour, 45 mins) | Language: English

 Develop an understanding in pyTorch step by step - pyTorch for beginners

What you'll learn

    You will understand pyTorch step by step
    You will develop this understanding by implementing pyTorch classes and functions
    You will learn how pyTorch can make your code much more easy
    You will first create a neural network from scratch and then make it easier with pyTorch modules

Requirements

    my first answer to this is always - curiousity!
    You should now basics of neural networks and what a tensor is
    You should have basic knowledge of python
    Your personal interest in the topic and willingness to learn something new
    Your commitment
    You want to take advantage of the data driven opportunity ahead

Description

Understanding pyTorch

Develop an understanding in pyTorch step by step. We will first develop a simple neural network in python and then implement pyTorch functionalities step by step to make our code easier to understand, shorter and more flexible.

The main goal is to give you an overview of the great modules and classes which pyTorch provides and to help you understand what those modules and classes actually do.

This is a guided "hands on" course which means you should code along with me to get the most out of this course.

Basic knowledge of python and neural networks is recommended (We do not introduce the definition of a tensor here).

If you have prior experience in tensorflow you might also like to go through this course to decide for yourself whether pyTorch is  the right deep learning framework for you

pyTorch is a great deep learning framework for pyTorch and develop a better understanding of how it works should help you to apply it to your own deep learning projects

If you are committed to learn then let's get into it

Who this course is for:

    beginners in pyTorch
    students who want to understand pyTorch better
    students who already know tensorflow and want to acquire better knowledge in pyTorch (Note a tensorflow vs. pyTorch comparison is NOT part of this course but you might be able to decide for yourself after finishing it)

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