Intro to Deep Learning

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Intro to Deep Learning provided by Kaggle is a comprehensive online course, which lasts for 4 hours worth of material. Intro to Deep Learning is taught by Ryan Holbrook. Upon completion of the course, you can receive an e-certificate from Kaggle. The course is taught in Englishand is Free Certificate. Visit the course page at Kaggle for detailed price information.

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