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# 5 Tips for Getting Started with Deep Learning

**[Machine Learning Mastery](https://daily.dev/sources/mlm)** · 4 min read · 59 upvotes · 1 comments

## Summary

Deep learning, a subset of machine learning inspired by the human brain, has become essential in areas like computer vision, speech recognition, and text generation. To get started, focus on understanding machine learning basics, select a comfortable deep-learning framework (such as TensorFlow, PyTorch, or Keras), learn neural network architectures, start with simple projects, and practice regularly while engaging with the community for feedback and guidance.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://machinelearningmastery.com/5-tips-for-getting-started-with-deep-learning/>

## Community discussion

Top comments from developers on daily.dev.

**@gibon** · 0 upvotes

> Great post, I think it gives clarity for those who are lost in the informations bush

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Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#deep-learning](https://daily.dev/tags/deep-learning), [#pytorch](https://daily.dev/tags/pytorch), [#neural-networks](https://daily.dev/tags/neural-networks), [#tensorflow](https://daily.dev/tags/tensorflow)

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