Neural networks for beginners from scatch in tensorflow

Dan We, Anything is possible

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19 Lessons (2h 42m)
    • 1. 1 Introduction to the course

      1:56
    • 2. 2 Understand the relevant steps to build your first neural network from scratch

      10:20
    • 3. 3 What are tensors

      3:31
    • 4. 4 Intro to Tensorflow datatypes

      6:35
    • 5. 5 Tensorflow datatypes and operations

      9:50
    • 6. 6 Tensorflow datatypes variables

      8:06
    • 7. 7 How does the network learn what does loss mean

      14:25
    • 8. 8 How optimization works finishing with the basics

      9:48
    • 9. 9 What is activation

      2:32
    • 10. 10 What is one hot encoding

      1:40
    • 11. 11 Creating the neural network understanding the dataset

      6:04
    • 12. 12 Start building the network 1

      15:20
    • 13. 13 Start building the network 2 shuffle train test and datashapes

      5:44
    • 14. 14 Start building the network 3 hyperparameters

      11:27
    • 15. 15 Start building the network 4 defining the structure

      17:23
    • 16. 16 start buidling the network 5 6

      21:09
    • 17. 17 Start building the network 7 finishing

      7:15
    • 18. 18 Start building the network 8 corrections and running

      6:28
    • 19. 19 Log out final words and important clues

      2:31

Project Description

You will build your own neural network in python from scratch using google's tensorflow library. This is a step by step manual to help you getting started.

Ready? Let's GO!

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