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Intro to Deep Learning

via Kaggle

Overview

Use TensorFlow and Keras to build and train neural networks for structured data.
  • Learn about linear units, the building blocks of deep learning.
  • Add hidden layers to your network to uncover complex relationships.
  • Use Keras and Tensorflow to train your first neural network.
  • Improve performance with extra capacity or early stopping.
  • Add these special layers to prevent overfitting and stabilize training.
  • Apply deep learning to another common task.
  • Get started with Tensor Processing Units (TPUs)!

Syllabus

  • A Single Neuron
  • Deep Neural Networks
  • Stochastic Gradient Descent
  • Overfitting and Underfitting
  • Dropout and Batch Normalization
  • Binary Classification
  • Detecting the Higgs Boson With TPUs

Taught by

Ryan Holbrook

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