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Keras Fundamentals

In this track, you'll expand your deep learning knowledge and take your machine learning skills to the next level. Working with Keras, you’ll learn about neural networks, the deep learning model workflows, and how to optimize your models. Throughout the track, you'll use deep learning techniques to solve real-world challenges, such as predicting housing prices, and building neural networks to model images and text. By the end of the track, you'll be ready to use Keras to train and test complex, multi-output networks and dive deeper into deep learning.

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1
Introduction to Deep Learning with Keras

Learn to start developing deep learning models with Keras.

4 hours

Miguel Esteban Headshot

Miguel Esteban

Data Scientist & Founder

2
Advanced Deep Learning with Keras

Learn how to develop deep learning models with Keras.

4 hours

Zachary Deane-Mayer Headshot

Zachary Deane-Mayer

VP, Data Science at DataRobot

3
Image Modeling with Keras

Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.

4 hours

Ariel Rokem Headshot

Ariel Rokem

Senior Data Scientist, University of Washington

4
Recurrent Neural Networks (RNNs) for Language Modeling with Keras

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

4 hours

David Cecchini Headshot

David Cecchini

Data Scientist

5
Building an E-Commerce Clothing Classifier Model with Keras

Automate e-commerce processes with image classification.

2 hours

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Instructors

  • Miguel Esteban Headshot
    Miguel EstebanData Scientist & FounderSee Miguel Esteban's Portfolio
  • Zachary Deane-Mayer Headshot
    Zachary Deane-MayerVP, Data Science at DataRobotSee Zachary Deane-Mayer's Portfolio
  • Ariel Rokem Headshot
    Ariel RokemSenior Data Scientist, University of WashingtonSee Ariel Rokem's Portfolio
  • David Cecchini Headshot
    David CecchiniData ScientistSee David Cecchini's Portfolio

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