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Deep Learning Tutorials
Learn how to use AI to speed up data analysis and processes in our deep learning tutorials. Upskill with our deep learning tips, tricks, and techniques.
PyTorch vs Tensorflow vs Keras
Explore the key differences between PyTorch, TensorFlow, and Keras - three of the most popular deep learning frameworks. Understand their unique features, pros, cons, and use cases to choose the right tool for your project.
Kurtis Pykes
August 2, 2023
Introduction to Deep Neural Networks
Understanding deep neural networks and their significance in the modern deep learning world of artificial intelligence
Bharath K
July 4, 2023
Natural Language Processing Tutorial
Learn what natural language processing (NLP) is and discover its real-world application, using Google BERT to process text datasets.
DataCamp Team
April 13, 2022
What is Deep Learning? A Tutorial for Beginners
The tutorial answers the most frequently asked questions about deep learning and explores various aspects of deep learning with real-life examples.
Abid Ali Awan
June 27, 2023
Convolutional Neural Networks (CNN) with TensorFlow Tutorial
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with Tensorflow Framework 2
Zoumana Keita
April 14, 2023
Stock Market Predictions with LSTM in Python
Discover Long Short-Term Memory (LSTM) networks in Python and how you can use them to make stock market predictions!
Thushan Ganegedara
January 1, 2020
Keras Tutorial: Deep Learning in Python
This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.
Karlijn Willems
December 10, 2019
TensorFlow 2.0 Case Study
Build a machine learning model for predicting the publisher’s name from an article using various Google Cloud technologies.
Sayak Paul
August 19, 2019
Implementing Neural Style Transfer Using TensorFlow 2.0
In this tutorial, you'll learn how to implement power applications like Prisma using TensorFlow 2.0.
Sayak Paul
June 21, 2019
Demystifying Mathematical Concepts for Deep Learning
Explore basic math concepts for data science and deep learning such as scalar and vector, determinant, singular value decomposition, and more.
Avinash Navlani
June 17, 2019
keras: Deep Learning in R
In this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP).
Karlijn Willems
February 12, 2019
TensorFlow Tutorial For Beginners
Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
Karlijn Willems
January 16, 2019