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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1.Introducing Neural Networks2mUP NEXT
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2.Neural Network Structures2m 34s
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3.Cost Functions for Neural Networks2m 29s
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4.Activation Functions1m 55s
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5.Training Neural Networks2m 53s
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6.Training Neural Networks With Backpropagation1m 32s
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7.Batch Learning1m 23s
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8.Introducing TensorFlow1m 33s
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9.Setting Up TensorFlow2m 52s
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10.Importing Data in TensorFlow4m 36s
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11.Building and Training a Single Layer NN in TF2m 58s
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12.Building and Training a Multilayer NN in TF1m 50s
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13.Exercise: Predict Home Prices with a NN2m 24s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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