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PyTorch: The Complete Guide 2024
Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library!

This Course Includes
udemy
4.4 (3 reviews )
9h 31m
english
Online - Self Paced
professional certificate
Udemy
About PyTorch: The Complete Guide 2024
Welcome to the best online course for learning about Pytorch! Although Google's Deep Learning library
Tensorflow
has gained massive popularity over the past few years,
PyTorch
has been the library of choice for professionals and researchers around the globe for
deep learning
and
artificial intelligence
. Is it possible that Tensorflow is popular only because
is popular and used effective marketing? Why did Tensorflow change so significantly between version 1 and version 2? Was there something deeply flawed with it, and are there still potential problems? It is less well-known that PyTorch is backed by another Internet giant,
(specifically, the
Facebook AI Research Lab - FAIR
). So if you want a popular deep learning library backed by billion dollar companies and lots of community support, you can't go wrong with PyTorch. And maybe it's a bonus that the library won't completely ruin all your old code when it advances to the next version. ;) On the flip side, it is _very well-known_ that all the top AI shops (ex.
OpenAI, Apple, and JPMorgan Chase
) use PyTorch. OpenAI just recently switched to PyTorch in 2022, a strong sign that PyTorch is picking up steam. In this course you will learn everything you need to know to get started with Pytorch, including:
NumPy
Pandas
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 PyTorch! I'll see you inside the course!
What You Will Learn?
- Pandas .
- Pytorch .
- Numpy .
- Artificial Neural Networks (ANN) .
- Generative adversarial network (GAN) .
- Convolution Neural Network (CNN) .
- Recurrent Neural Network (RNN) .
- Google Colab . .
- Matplotlib. .
- Long Short Term Memory (LSTM) .
- Language Model .
- Reinforcement Learning .
- OpenAI Gym.