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Introduction to Deep Learning with Keras

IntermediateSkill Level
4.7+
48 reviews
Updated 05/2025
Learn to start developing deep learning models with Keras.
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PythonArtificial Intelligence4 hours15 videos59 Exercises4,950 XP41,957Statement of Accomplishment

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Course Description

Deep learning is here to stay! It's the go-to technique to solve complex problems that arise with unstructured data and an incredible tool for innovation. Keras is one of the frameworks that make it easier to start developing deep learning models, and it's versatile enough to build industry-ready models in no time. In this course, you will learn regression and save the earth by predicting asteroid trajectories, apply binary classification to distinguish between real and fake dollar bills, use multiclass classification to decide who threw which dart at a dart board, learn to use neural networks to reconstruct noisy images and much more. Additionally, you will learn how to better control your models during training and how to tune them to boost their performance.

Prerequisites

Supervised Learning with scikit-learn
1

Introducing Keras

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2

Going Deeper

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3

Improving Your Model Performance

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4

Advanced Model Architectures

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Introduction to Deep Learning with Keras
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Don’t just take our word for it

*4.7
from 48 reviews
81%
17%
2%
0%
0%
  • Sukkasem
    about 10 hours

  • IMRAN
    3 days

    Excellent.

  • Muskan Ali
    12 days

  • noelle
    13 days

  • Chen
    16 days

  • Aristotelis
    6 days

Sukkasem

"Excellent."

IMRAN

Muskan Ali

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