Course
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Learn to start developing deep learning models with Keras.
Learn to start developing deep learning models with Keras.
Track
Take your machine learning skills to the next level. Use the Keras library to create and optimize neural networks to model complex data types.
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Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Learn to start developing deep learning models with Keras.
Learn to start developing deep learning models with Keras.
Course
Learn how to develop deep learning models with Keras.
Learn how to develop deep learning models with Keras.
Course
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Learn to conduct image analysis using Keras with Python by constructing, training, and evaluating convolutional neural networks.
Course
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.
Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.
Project
Automate e-commerce processes with image classification.
Automate e-commerce processes with image classification.
Keras Fundamentals
Track
Complete
VP, Data Science at DataRobot
Yes, this track is suitable for beginners. It provides an introduction to Deep Learning using Python and covers the fundamentals of neural networks, deep learning model workflows, and how to optimize your models. It also introduces TensorFlow to help develop linear regression models and neural networks.
The programming language used for this track is Python
This track is beneficial for anyone interested in enhancing their understanding of machine learning techniques such as predictive modelling, supervised learning, and deep learning. It is especially useful for software engineers, data scientists, researchers, and developers.
This track equips users with the skills and knowledge to build and deploy deep learning models and to apply them to real-world challenges. By the end of the track, users will be able to use Keras to train and test complex, multi-output networks, and dive deeper into deep learning.
This track usually takes 16 hours to complete as it consists of several courses that significantly upskill users.
Skill tracks focus on developing and enhancing particular skills, such as deep learning, whereas career tracks are designed to advance users' career prospects by introducing them to a comprehensive suite of industry-relevant skills.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track

DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company