Neural Networks and Deep Learning: Neural Networks and Deep Learning, Deep Learning Explained to Your Granny (Machine Learning)

Download Neural Networks and Deep Learning: Neural Networks and Deep Learning, Deep Learning Explained to Your Granny (Machine Learning) AudioBook Free

Ready to crank up a neural network to get your self-driving car to pick up the youngsters from college? Want to add "deep learning" to your LinkedIn account? Well, hang on there.... Before you attempt your epic trip into the world of deep learning, there is certainly basic theory to march through first! Have a step-by-step trip through the basics of neural sites and deep learning, made so simple that...even your granny could understand it! What you would gain from this audiobook:

  • A deep understanding of what sort of neural network and deep learning work
  • A basics comprehension about how to create a deep neural network from nothing
Who this audiobook is perfect for:
  • Beginners who want to approach this issue, but are too afraid of sophisticated math to start!
What's inside?
  • A brief intro to machine learning
  • Two main types of machine learning algorithms
  • A practical example of unsupervised learning
  • What are neural sites?
  • McCulloch-Pitts' neuron
  • Types of activation function
  • Types of network architectures
  • Learning techniques
  • Advantages and disadvantages
  • Let us provide a memory to our neural network
  • The example of e book writing software
  • Profound learning: the power of understanding how to learn
  • How does deep learning work?
  • Main architectures and algorithms
  • Main types of DNN
  • Available frameworks and libraries
  • Convolutional neural sites
  • Tunnel perspective
  • Convolution
  • The right architecture for a neural network
  • Test your neural network
  • A general summary of deep learning
  • What will be the limits of deep learning?
  • Profound learning: the basic principles
  • Layers, learning paradigms, training, validation
  • Main architectures and algorithms
  • Models for deep learning
  • Probabilistic visual models
  • Restricted Boltzmann machines
  • Deep belief sites
  • Available frameworks and libraries
  • TensorFlow
Download now!


Category: Neural Networks

Details

Publisher

Pat Nakamoto
Language

English
ISBN

DATE

2018-03
Author

Pat Nakamoto

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