Course curriculum

    1. Course Content

    2. Introduction to Instructor and Aisciences

    3. Benefits of Framework

    4. Installation Pytorch

    1. Introduction to Tensor

    2. List vs Array vs Tensor

    3. Arithmetic Operations

    4. Tensor Operations

    5. Auto-Gradiants

    6. Activity Solution

    7. Detaching Gradients

    8. Loading GPU

    1. Introduction to Module

    2. Basic NN part 1

    3. Basic NN part 2

    4. Loss Functions

    5. Activation Functions & Hidden Layers

    6. Optimizers

    7. Data Loader & Dataset

    8. Activity

    9. Activity Solution

    10. Formating the Output

    11. Graph for Loss

    1. Introduction to Module

    2. CNN vs NN

    3. Introduction to Convolution

    4. Convolution Animations

    5. Convolution using Pytorch

    6. Introduction to Pooling

    7. Pooling using Numpy

    8. Pooling in Pytorch

    9. Introduction to Project

    10. Project (Data Loading)

    11. Project (Transforms)

    12. Project (DataLoaders)

    13. Project (CNN Architect)

    14. Project (Forward Propagation)

    15. Project (Training CNN)

    16. Project (Analyzing Model Output)

    17. Project (Making Predictions)

About this course

  • $199.99
  • 40 lessons
  • 5.5 hours of video content