I really liked those ones: - CS321 from Standford (outstanding material by Andrej Karpathy): http://cs231n.github.io/

- Hugo Larochelle videos: https://www.youtube.com/channel/UCiDouKcxRmAdc5OeZdiRwAg

- Michael Nielsen tutorial: http://neuralnetworksanddeeplearning.com/

- Chris Olah blog: http://colah.github.io/

- Keras blog: https://blog.keras.io/

There is also this one (not really a tutorial though): - Goodfellow, Bengio, Courville: http://www.deeplearningbook.org/

Also, there were a lot of 'Ask HN' topics - take a look.

I'm currently going through this which is to the point and easily understandable: http://neuralnetworksanddeeplearning.com/

My next step is https://www.tensorflow.org/tutorials/ as I want to move to TF with basics already in grasp.

the one that was really easy to grasp and gave me good intuition about the subject is https://karpathy.github.io/neuralnets/