Deep Learning Roadmap

1. Maths & Statistics → Build a strong mathematical foundation (algebra, probability, statistics).

2. Python → Learn Python programming (it’s the most widely used language in AI/ML).

3. Data Wrangling → Learn how to clean, organize, and preprocess raw data.

4. Machine Learning Concepts → Understand basic algorithms and theories of Machine Learning.

5. Deep Learning Algorithms → Learn neural networks, CNN, RNN, and similar algorithms.

6. Deep Learning Frameworks → Learn tools like TensorFlow and PyTorch.

7. CV & NLP Using Deep Learning → Work on Computer Vision (image processing) and NLP (language processing) projects.

8. SQL & NoSQL → Learn SQL/NoSQL to work with data from databases.

9. Deploying Models → Learn how to run your trained models in web or app environments.

10. Projects & Resume → Build your own projects and add them to your resume.

11. SUCCESS!!! → Completing these steps will give you the skills needed to start a career in Deep Learning.

Here are 8 hashtags you can use:

#DeepLearning #AI #MachineLearning #DataScience #PythonProgramming #ArtificialIntelligence #TechSkills

#LearnAi

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