Deep Learning – Artificial Neural Networks with TensorFlow

By Lisa Categories: Entrepeneurship

Course Content

Welcome

Introduction

00:00
Outline

00:00

Machine Learning and Neurons

What Is Machine Learning?

00:00
Code Preparation (Classification Theory)

00:00
Classification Notebook

00:00
Code Preparation (Regression Theory)

00:00
Regression Notebook

00:00
The Neuron

00:00
How Does a Model ‘Learn’?

00:00
Making Predictions

00:00
Saving and Loading a Model

00:00
Why Keras?

00:00
Suggestion Box

00:00

Feedforward Artificial Neural Networks

Artificial Neural Networks Section Introduction

00:00
Forward Propagation

00:00
The Geometrical Picture

00:00
Activation Functions

00:00
Multiclass Classification

00:00
How to Represent Images

00:00
Code Preparation (Artificial Neural Networks)

00:00
ANN for Image Classification

00:00
ANN for Regression

00:00
How to Choose Hyperparameters

00:00

In-Depth: Loss Functions

In-Depth: Gradient Descent

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