DADataCamp
Introduction to Deep Learning with Keras
Intermediate 4 hours English Completion Certificate
About this course
Introduction to Deep Learning with Keras moves from scikit-learn into neural networks: regression for predicting asteroid trajectories, binary classification for fake-bill detection, multiclass and multi-label problems, and a first look at autoencoders, CNNs, and LSTMs in the final chapter. It explicitly assumes you've completed Supervised Learning with scikit-learn first.
The honest take: at 124 reviews and 4.7 stars, it's solid but far less battle-tested than the scikit-learn prerequisite — a smaller, more specialized audience, which tracks given it's a second step rather than an entry point.
What you'll learn
Build regression, binary, multiclass, and multi-label neural networks
Use Keras callbacks for early stopping and training history
Interpret learning curves and detect overfitting
Apply batch normalization and tune hyperparameters
Build a basic autoencoder for image reconstruction
Get a first introduction to CNNs and LSTMs
This course includes
4h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
Comparison · LBS
Compare alternatives for Introduction to Deep Learning with Keras
Same topic, different options. We surface the trade-offs others hide so you can pick the course that actually fits your time, budget, and goals.
DADataCamp4.7(124)
Introduction to Deep Learning with Keras
- Price
- PaidDataCamp subscription · from $25/mo (free trial)
- Duration
- 4 hrs
- Level
- Intermediate
- Certificate
- Completion
COCoursera4.9(78,000)
Machine Learning Specialization
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 94 hrs
- Level
- Intermediate
- Certificate
- Professional
COCoursera4.8(12,400)
AWS Certified AI Practitioner
- Price
- FreeAudit free · Cert $49/mo
- Duration
- 14 hrs
- Level
- Beginner
- Certificate
- Professional
EDedX4.4(131)
Data Science: Building Machine Learning Models
- Price
- FreeAudit free · HarvardX certificate available ($149)
- Duration
- 24 hrs
- Level
- Beginner
- Certificate
- Professional
Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
I
Instructor
DataCamp instructor
— learners— courses — instructor rating
Taught by DataCamp's data science curriculum team.
Requirements
- Supervised Learning with scikit-learn
- Introduction to Statistics in Python
- pandas fundamentals
Who this course is for
- Learners who've completed scikit-learn fundamentals
- Python users starting deep learning
About this provider
DA
DataCamp
Data science and analytics learning platform. 10M+ learners, hands-on coding exercises.
4.4 trust score
Frequently asked questions
Supervised Learning with scikit-learn, Introduction to Statistics in Python, and pandas fundamentals — comfort with classification and regression is assumed.
Requires a DataCamp subscription, from $25/mo, with a free trial available.
About 4 hours across four chapters.
Yes — the final chapter introduces autoencoders, CNNs, and LSTMs, though briefly.
Yes — learning curves, early stopping, and model saving are covered explicitly.