Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 2
Dot Product
Matrix Multiplication
Special Matrices: Diagonal, Identity, Null
Matrix Transpose
Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE
| 2022-03-28 | Modern NLP: Walkthrough of Assignment 1-Session 4, part 4 |
| 2022-03-28 | Mathematics of Deep Learning: Gradient descent contd - Training - Session 12 |
| 2022-03-28 | Mathematics of Deep Learning: Gradient descent - Session 11 |
| 2022-03-28 | Mathematics of Deep Learning: Dropout- Session 10 |
| 2022-03-28 | Mathematics of Deep Learning: Convnets- Session 9 |
| 2022-03-28 | Mathematics of Deep Learning: Why convolutions, sobel & scharr filters Session 8 |
| 2022-03-28 | Mathematics of Deep Learning: 2D convolutions, pooling, dilated convolutions - Session 7 |
| 2022-03-28 | Mathematics of Deep Learning: Convolutions- Session 6 |
| 2022-03-28 | Mathematics of Deep Learning: Linear Algebra IV: loss functions - Session 5 |
| 2022-03-28 | Mathematics of Deep Learning: Linear Algebra III: non-linearities - Session 4 |
| 2022-03-28 | Mathematics of Deep Learning: Linear Algebra I: tensors, matrices, dot product - Session 2 |
| 2022-03-28 | Mathematics of Deep Learning: Linear Algebra II: matrices and eigendecomposition - Session 3 |
| 2022-03-28 | Mathematics of Deep Learning: Introduction- Pytorch and linear algebra - Session 1 |
| 2022-03-28 | Mathematics of Deep Learning: Chain Rule, Backpropagation & Autograd - Session 13 |
| 2022-03-28 | Azure MLops- Model Deployment II- Session III, part 3 |
| 2022-03-28 | Azure MLops- Model Deployment- Session III, part 2 |
| 2022-03-28 | Azure MLops- ML Pipelines- Session III, part 1 |
| 2022-03-28 | Azure MLops- MLops Flow- Session III, part 4 |
| 2022-03-28 | Azure MLops- MLPipeline_MNIST Hands-on- Session II, part 5 |
| 2022-03-28 | Azure MLops- Experiment Reproducibility Hands-on III- Session II, part 4 |
| 2022-03-28 | Azure MLops- Experiment Reproducibility Hands-on II- Session II, part 3 |
6