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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.
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Machine Learning

Cross-Entropy Loss Function in Machine Learning: Enhancing Model Accuracy

Explore cross-entropy in machine learning in our guide on optimizing model accuracy and effectiveness in classification with TensorFlow and PyTorch examples.

Kurtis Pykes

January 11, 2024

Deep Learning

An Introduction to Convolutional Neural Networks (CNNs)

A complete guide to understanding CNNs, their impact on image analysis, and some key strategies to combat overfitting for robust CNN vs deep learning applications.
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Zoumana Keita

November 14, 2023

Deep Learning

Introduction to Activation Functions in Neural Networks

Learn to navigate the landscape of common activation functions—from the steadfast ReLU to the probabilistic prowess of the softmax.
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Moez Ali

November 9, 2023

Deep Learning

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 's photo

Kurtis Pykes

August 2, 2023

Deep Learning

Introduction to Deep Neural Networks

Understanding deep neural networks and their significance in the modern deep learning world of artificial intelligence
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Bharath K

July 4, 2023

Deep Learning

Natural Language Processing Tutorial

Learn what natural language processing (NLP) is and discover its real-world application, using Google BERT to process text datasets.
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DataCamp Team

April 13, 2022

Deep Learning

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!
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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.
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Karlijn Willems

December 10, 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.
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Sayak Paul

June 21, 2019