✅ Learn PyTorch in 4 steps👨🏻💻 With support for more than 200 different mathematical operations, PyTorch is one of the most powerful open source and computational libraries based on Python for machine learning. You don't need to look for different sources to learn this popular library, but the website of this library covers more than what you need.
💯2️⃣ Here, I will teach you how to learn PyTorch from scratch in 4 steps.
👌🏼1️⃣ Text tutorial: If you don't know anything about Python, you should start learning from here.
⬅️ Topics: tensors, datasets and DataLoader, model building, optimization loop, saving, loading and using the model.
📄 PyTorch Basics┘📎 Link: Learn the Basics
2️⃣ Video training: This section is very useful for those who prefer video content.
⬅️ Topics: introduction, tensor construction and model construction with pytorch.
📄 Introduction to PyTorch┘📎 Link: Introduction to PyTorch3️⃣ Examining examples: By viewing different examples, you will review what you have learned so far.
📄 Learning Python by example┘📎 Link: Learning PyTorch with Examples4️⃣ Coding: This step is vital! Your theoretical knowledge is worthless without coding! The Keras website is full of sample code that is great for getting started.
📄 Start coding┘📎 Link: keras.io😠 More likes
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