Prerequisites:
- Basic understanding of Calculus, especially terms like gradient, function minimization, derivatives etc.
- Hands-on experience with Python, atleast to basic level.
General tips for entire journey:
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Important libraries and framework which will be used most of the times:
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Keras, TensorFlow
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PyTorch
(You don’t have to be familiar with any of these, and will learn on the go)
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Start using Google Colab and Kaggle, as these will be used most of the time.
Topics:
Here is a list of topics, arranged in recommended order of learning:
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Once you are familiar with the above topics, you will have an idea of which topic you liked most and can delve deeper into it.
Here is a list of advanced topics in more detail:
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