All Videos Channels
  1. 334. Types of File Formats Supporting TensorFlow | Skyhighes | Data Science

    334. Types of File Formats Supporting TensorFlow | Skyhighes | Data Science

    4
  5. 383. Business Case Balancing the Dataset | Skyhighes | Data Science

    383. Business Case Balancing the Dataset | Skyhighes | Data Science

    8
  8. 377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    377. MNIST Select the Loss and the Optimizer | Skyhighes | Data Science

    8
  9. 473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    473. Exploring the Problem with a Machine Learning Mindset | Skyhighes | Data Science

    32
  12. 271. Traditional data science methods and the role of ChatGPT | Skyhighes | Data Science

    271. Traditional data science methods and the role of ChatGPT | Skyhighes | Data Science

    1
  13. 322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    322. Common Objective Functions Cross-Entropy Loss | Skyhighes | Data Science

    3
  14. 321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    321. Common Objective Functions L2-norm Loss | Skyhighes | Data Science

    3
  16. 319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

    319. Graphical Representation of Simple Neural Networks | Skyhighes | Data Science

    3
  17. 318. The Linear model with Multiple Inputs and Multiple Outputs | Skyhighes | Data Science

    318. The Linear model with Multiple Inputs and Multiple Outputs | Skyhighes | Data Science

    3
  18. 317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    317. The Linear Model with Multiple Inputs | Skyhighes | Data Science

    3
  19. 316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data Science

    316. The Linear Model (Linear Algebraic Version) | Skyhighes | Data Science

    3
  20. 313. Introduction to Neural Networks | Skyhighes | Data Science

    313. Introduction to Neural Networks | Skyhighes | Data Science

    3
  22. 432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

    432. What are Data, Servers, Clients, Requests, and Responses | Skyhighes | Data Science

    5
  23. 488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    488. Preparing the Deployment of the Model through a Module | Skyhighes | Data Science

    5
  24. 485. Saving the Model and Preparing it for Deployment | Skyhighes | Data Science

    485. Saving the Model and Preparing it for Deployment | Skyhighes | Data Science

    6
  25. 483. Backward Elimination or How to Simplify Your Model | Skyhighes | Data Science

    483. Backward Elimination or How to Simplify Your Model | Skyhighes | Data Science

    6