It's really important not to skip the math. As a friend once said to me, doing deep learning without understanding the math is like gambling. It's fine to initially take a more practical, project-based approach for the sake of staying motivated, and you'll retain things better if you have project goals in mind, but, the math is that important.
The good news is that compared to other technical fields, the math is also relatively shallow. Here are some good resources that you don't need more than calculus/linalg for (I've used all of them and they got me off the ground):
Once you feel confident, the Deep Learning book is more math-heavy, but it is really very good. The authors are more or less deep learning gods. It'll teach you a tremendous amount about how/why neural nets work and the principles used to discover new architectures, and gain a strong intuition for how to use neural nets as a tool. Read it slowly---unless you're already good at math, it takes a while to get through. Don't skip the first five chapters. Use Google and Wikipedia to pick up concepts you don't understand along the way instead of skipping over them (it will bite you later).
The good news is that compared to other technical fields, the math is also relatively shallow. Here are some good resources that you don't need more than calculus/linalg for (I've used all of them and they got me off the ground):
http://cs231n.stanford.edu/
http://neuralnetworksanddeeplearning.com/
http://course.fast.ai/
Once you feel confident, the Deep Learning book is more math-heavy, but it is really very good. The authors are more or less deep learning gods. It'll teach you a tremendous amount about how/why neural nets work and the principles used to discover new architectures, and gain a strong intuition for how to use neural nets as a tool. Read it slowly---unless you're already good at math, it takes a while to get through. Don't skip the first five chapters. Use Google and Wikipedia to pick up concepts you don't understand along the way instead of skipping over them (it will bite you later).