Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Interactive Intro

Neural Networks

Go to

diggit.no

  1. Log In
  2. Select Menu of the top left
  3. Go to Catalog
  4. Choose Course "Intro to Neural Networks"

Print Py 2.7

  • Let's start by print out hello world in 2.7

 

  • print "Hello, World!"

 

  • Congratulations you've just created your first string

Chapter 1 | Python, class intro

Indentation

  • Python Indentations (Exc 2)                                                                                           
    Where in other programming languages the indentation in code is for readability only, in Python the indentation is very important.
    Python uses indentation to indicate a block of code.

Chapter 1 | Python, class intro

Indentation

  • Python Indentations (Exc 2)                                                                                           
    Where in other programming languages the indentation in code is for readability only, in Python the indentation is very important.
    Python uses indentation to indicate a block of code.

Chapter 1 | Python, class intro

Class

  • Python is an object oriented programming language.

 

  • Almost everything in Python is an object, with its properties and methods.

 

  • A Class is like an object constructor, or a "blueprint" for creating objects.

Chapter 1 | Python, class intro

Create a Class

To create a class, use the keyword class:

Example

Create a class named Snake, with a property named name

Chapter 1 | Python, class intro

The __init__() Function

Use the __init__() function to assign values to object properties, or other operations that are necessary to do when the object is being created.

Chapter 2 | More on classes

The __init__() Function

In the class named Snake, use the __init__() function to assign values for new_color

Example

Chapter 2 | More on classes

Data architecture

Chapter 3 | What’s a Neural Network?

Chapter 3 | What’s a Neural Network?

Chapter 3 | What’s a Neural Network?

What does this look like in code format using Numpy?

Chapter 3 | What’s a Neural Network?

Chapter 3 | What’s a Neural Network?

Chapter 3 | What’s a Neural Network?

Which matrixes can be multiplied

Chapter 4 | Numpy

Size of new matrix after multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Nempy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Matrix multiplication

Chapter 4 | Numpy

Forward propagation Intro

Chapter 5 | Forward propagation Intro

Chapter | Forward propagation Intro

Multiplication

of layers and weight matrices

Chapter | Forward propagation Intro

Multiplication

of layers and weight matrices

Chapter | Forward propagation Intro

Chapter | Forward propagation Intro

Chapter | Forward propagation Intro

Chapter | Forward propagation Intro

Multiplication

of layers and weight matrices

Chapter | Forward propagation Intro

Multiplication of layers and weight matrices

Chapter | Forward propagation Intro

Multiplication of layers and weight matrices

Chapter | Forward propagation Intro

Chapter | Forward propagation Intro

What they represent mathematically

 

Chapter | Forward propagation Intro

What is Z representing

 

Chapter | Forward propagation Intro

What we learned

Chapter | Sigmoid Function

Sigmoid Function

Chapter | Sigmoid Function

We need to convert our values into a probable value

Chapter | Sigmoid Function

Chapter | Forward Propagation Continued

Chapter | Forward Propagation Continued

Bootcamp- Concepts

www.diggitacademy.co.uk

Chapter | Error Calcuation

Chapter | Error Calcuation

Chapter | Error Calcuation

Chapter | Error Calcuation

Chapter | Error Calcuation

Chapter | Error Calcuation

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