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Introduction to Deep Learning Da

Introduction to Deep Learning Da

作者: Elinaliu | 来源:发表于2017-09-14 20:20 被阅读132次

    1.1 Welcome

    • AI is the new Electricity.

    • Electricity had once transformed countless industries: transportation, manufacturing, healthcare, communications, and more.

    • AI will now bring about an equally big transformation.

    1.2 What you’ll learn

    Courses in this sequence (Specialization):

    1 Neural Networks and Deep Learning

    2 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

    3 Structuring your Machine Learning project

    4 Convolutional Neural Networks

    5 Natural Language Processing: Building sequence models

    1.3 What is a Neural Network?

    Basic intuitions

    The term deep learning refers to training neural networks.

    Example 1 – Single neural network

    Example 2 – Multiple neural network

    If you think of this neuron is being like a single Logo brick, you then get a bigger neural network by stacking together many of these Lego bricks.

    By stacking together a few of the single neurons, we now have a slightly larger neuro network.

    Part of the magic of a neural network is that when you implement it you need to give it just the input - x and the output y, for the number of examples in your training set and all these things in the middle it will figure out by itself.

    Hidden units in a neural network that each of them takes its input of four input features.

    And the remarkable thing about neural networks is that given enough data about x and y, given enough training examples with both x and y, neural networks are remarkably good at figuring out functions that accurately map from x to y.

    Summary 

    Neural networks

    Single neural network

    Multiple neural network

    Housing Price Prediction

    Function ReLU

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