Learn PyTorch from the very basics to advanced models like Generative Adverserial Networks and Image Captioning

“PyTorch: Zero to GANs” is an online course and series of tutorials on building deep learning models with PyTorch, an open source neural networks library. Here are the concepts covered in this course:

• PyTorch Basics: Tensors & Gradients
• Linear Regression & Gradient Descent
• Classification using Logistic Regression
• Feedforward Neural Networks & Training on GPUs (this post)

What you’ll learn

• A coding-focused introduction to Deep Learning using PyTorch, starting from the very basics and going all the way up to advanced topics like Generative Adverserial Networks

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Further reading about Python, PyTorch and Deep Learning

☞ Complete Python Bootcamp: Go from zero to hero in Python 3

☞ A Complete Machine Learning Project Walk-Through in Python

☞ Deep Learning With TensorFlow 2.0

☞ Introduction to PyTorch and Machine Learning

☞ Machine Learning A-Z™: Hands-On Python & R In Data Science

☞ Deep Learning A-Z™: Hands-On Artificial Neural Networks

☞ PyTorch Tutorial for Beginners

#deep-learning #data-science #machine-learning #python #tensorflow