Deep Learning Specialization by DeepLearning.AI #BeADeepLearner

Key Takeaways

Over a million learners have taken the deep learning specialization. This month, I'm excited that we're celebrating our deep learners by sharing their stories and successes with you. I've heard from people who've jumped into deep learning from different backgrounds from software engineering to math to physics to healthcare to the arts and many more. They're also at different stages in their lives. For example, after [music] 20 years as an IT manager, someone switched to deep learning and is now pursuing a PhD in reinforcement [music] learning. Another one is new parent who studied deep learning only in short bursts while her baby napped. She's now a senior engineer working on machine learning in a startup. In hearing from different learners, I know it's not easy. In fact, it can be quite daunting to start something new. I've heard people worry, is this the right program for me? Do I have time to learn this? Would it be too hard for me? And will I be able to keep up? That's why I want to give a lot of kudos to everyone who has completed these courses. I find it very gratifying to hear all these amazing stories. I believe that anyone can be a deep learner. The world still needs a lot more people working on machine learning and deep learning. And so wherever you are in your journey learning about or using machine learning and deep learning, I hope these stories will inspire you and perhaps also share some tips that'll help you to continue on your learning path. Perhaps at a later date, your story will be one that we also get to share.