Neural Networks
Machine Learning
| Beginner
- 13 videos | 30m 56s
- Includes Assessment
- Earns a Badge
Due to recent advancements in processing, neural networks have become easier to train, which made them extremely popular. Explore neural networks and how to use them.
WHAT YOU WILL LEARN
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describe neural networks and their capabilities
describe how different neural networks are structured
describe how cost functions are used to train neural networks
describe activation functions and list different types of commonly used activation functions
describe feedforward neural networks and the intuition behind calculating gradients in neural networks
describe how to use backpropagation for more efficient neural network training
describe batch learning and why it makes neural network training easier -
describe TensorFlow and its high-level architecture
set up TensorFlow for use on a CPU
import data into TensorFlow using built-in data sources and external data sources
implement and train a single-layer NN in TF
implement and train a multilayer NN in TF
use TensorFlow to create a NN that predict home prices
IN THIS COURSE
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2mAfter completing this video, you will be able to describe neural networks and their capabilities. FREE ACCESS
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2m 34sAfter completing this video, you will be able to describe how different neural networks are structured. FREE ACCESS
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3. Cost Functions for Neural Networks2m 29sAfter completing this video, you will be able to describe how cost functions are used to train neural networks. FREE ACCESS
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4. Activation Functions1m 55sAfter completing this video, you will be able to describe activation functions and list different types of activation functions that are commonly used. FREE ACCESS
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5. Training Neural Networks2m 53sUpon completion of this video, you will be able to describe feedforward neural networks and the intuition behind calculating gradients in neural networks. FREE ACCESS
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6. Training Neural Networks With Backpropagation1m 32sAfter completing this video, you will be able to describe how to use backpropagation to train neural networks more efficiently. FREE ACCESS
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7. Batch Learning1m 23sUpon completion of this video, you will be able to describe batch learning and why it is advantageous for training neural networks. FREE ACCESS
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8. Introducing TensorFlow1m 33sUpon completion of this video, you will be able to describe TensorFlow and its high-level architecture. FREE ACCESS
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9. Setting Up TensorFlow2m 52sIn this video, you will set up TensorFlow for use on a CPU. FREE ACCESS
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10. Importing Data in TensorFlow4m 36sIn this video, you will learn how to import data into TensorFlow using built-in data sources and external data sources. FREE ACCESS
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11. Building and Training a Single Layer NN in TF2m 58sIn this video, you will learn how to implement and train a single-layer neural network in TensorFlow. FREE ACCESS
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12. Building and Training a Multilayer NN in TF1m 50sDuring this video, you will learn how to implement and train a multilayer neural network in TensorFlow. FREE ACCESS
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13. Exercise: Predict Home Prices with a NN2m 24sLearn how to use TensorFlow to create a neural network that predicts home prices. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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