I have understood the drawbacks of RNN are vanishing and exploding gradients. But can someone please summarize me how LSTM helps to tackle this problem. There is no video in course giving more info about it.
Solving Vansihing grad problem due to LSTM
Hey @preetishvij, your question needs huge explanation, actually in lstm the forget gate plays the major part in this.
For detailed explanation you need to go into the mathematical part, you can find this link https://mc.ai/how-do-lstm-networks-solve-the-problem-of-vanishing-gradients/
Helpful for the purpose. You can go through it.
Hope this resolved your doubt.
Plz mark the doubt as resolved in my doubts section. 
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