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
Interactive Intro
Neural Networks
Go to
diggit.no
- Log In
- Select Menu of the top left
- Go to Catalog
- 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
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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