Deep Learning With Python: If You Know Nothing, Start Here. If there's one show you shouldn't miss it's here.

Teaching yourself deep learning is a long and arduous process. You need a strong background in linear algebra and calculus, good Python programming skills, and a solid grasp of data science, machine learning, and data engineering. Even then, it can take more than a year of study and practice before you reach the point where you can start applying deep learning to real-world problems and possibly land a job as a deep learning engineer.

Knowing where to start, however, can help a lot in softening the learning curve. If I had to learn deep learning with Python all over again, I would start with *Grokking Deep Learning*, written by Andrew Trask. Most books on deep learning require a basic knowledge of machine learning concepts and algorithms. Trask’s book teaches you the fundamentals of deep learning without any prerequisites aside from basic math and programming skills.

The book won’t make you a deep learning wizard (and it doesn’t make such claims), but it will set you on a path that will make it much easier to learn from more advanced books and courses.

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