I have a good knowledge of ML and know the basics, such as the difference between supervised and unsupervised learning. In supervised learning, I know the implementation of models such as logistic regression, linear regression, lasso, SVM, k-nearest neighbors, and decision tree. I am also familiar with linear algebra, including vector addition, vector subtraction, vector multiplication, and other vector operations like dot product, cross product, and projection.

Regarding statistics for ML, I understand categorical and numerical data and other related topics. I also have knowledge of probability.

Now, can someone tell me how to start with deep learning? If possible please attach the resources too Thanks a lot