# Deep Learning

Lesson | Video | Discussion | |
---|---|---|---|

1 | Recognizing cats and dogs | https://youtu.be/IPBSB1HLNLo | Wiki: Lesson 1 |

2 | Convolutional Neural Networks | https://youtu.be/JNxcznsrRb8 | Wiki: Lesson 2 |

3 | Improving Your Image Classifier | https://youtu.be/9C06ZPF8Uuc | Wiki: Lesson 3 |

4 | Structure, Time Series, & Lenguage Models | https://youtu.be/gbceqO8PpBg | Wiki: Lesson 4 |

5 | Collaborative Filtering; Inside The Training Loop | https://youtu.be/J99NV9Cr75I | Wiki: Lesson 5 |

6 | Interpreting Embeddings; RNNs From Scratch | https://youtu.be/sHcLkfRrgoQ | Wiki: Lesson 6 |

7 | ResNet From Scratch | https://youtu.be/H3g26EVADgY | Wiki: Lesson 7 |

# Linear Algebra

# | Lesson | Video |
---|---|---|

1 | Matrix Math, Accuracy, Memory, Speed, & Parallelization | https://youtu.be/8iGzBMboA0I&list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY |

2 | Topic Modelling with SVD & NMF | https://youtu.be/kgd40iDT8yY&list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY |

3 | Review, New Perspective on NMF, & Randomized SVD | https://youtu.be/C8KEtrWjjyo |

4 | Randomized SVD & Robust PCA | https://youtu.be/Ys8R2nUTOAk |

5 | Robust PCA & LU Factorization | https://youtu.be/O2x5KPJr5ag |

6 | Block Matrix Mult, Broadcasting, & Sparse Storage | https://youtu.be/YY9_EYNj5TY |

7 | Compressed Sensing for CT Scans | https://youtu.be/ZUGkvIM6ehM |

8 | Numba, Polynomial Features, How to Implement Linear Regression | https://youtu.be/SjX55V8zDXI |

9 | PageRank with Eigen Decompositions | https://youtu.be/AbB-w77yxD0 |

10 | QR Algorithm to find Eigenvalues, Implementing QR Decomposition | https://youtu.be/1kw8bpA9QmQ |

# Machine Learning

And finally we have

And sure theory section and some external videos Deep Learning Book - video summaries

So yeah, there are lot of free resources thanks!.