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Deep Learning Explained

Teacher

Steve Elston

Position

Reviews

NYR/5
NYR

Tutorial Price

$Free: Add a Verified Certificate for $99 USD
https://www.edx.org/course/deep-learning-explained-2

Level

NYR

Duration

6 Weeks

# of Reviews

Module Type

On demand video

The components of a deep neural network and how they work together The basic types of deep neural networks (MLP, CNN, RNN, LSTM) and the type of data each is designed for A working knowledge of vocabulary, concepts, and algorithms used in deep learning How to build: An end-to-end model for recognizing handwritten digit images, using a multi-class Logistic Regression and MLP (Multi-Layered Perceptron) A CNN (Convolution Neural Network) model for improved digit recognition An RNN (Recurrent Neural Network) model to forecast time-series data An LSTM (Long Short Term Memory) model to process sequential text data

Instructors

Steve Elston

Link to Course

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