Catégorie
Thèmes
Tutoriels sur l'apprentissage profond
Apprenez à utiliser l'IA pour accélérer l'analyse des données et les processus dans nos tutoriels sur l'apprentissage profond. Améliorez vos compétences grâce à nos conseils, astuces et techniques en matière d'apprentissage profond.
Autres thèmes :
Formation de 2 personnes ou plus ?Essayer DataCamp for Business
Deduce the Number of Layers and Neurons for ANN
There is an optimal number of hidden layers and neurons for an artificial neural network (ANN). This tutorial discusses a simple approach for determining the optimal numbers for layers and neurons for ANN's.
Ahmed Gad
11 septembre 2018
Image Super-Resolution using Multi-Decoder Framework Tutorial
In this tutorial, you’ll implement a medical imaging using deep learning paper with Python in Keras.
Aditya Sharma
6 août 2018
Autoencoder as a Classifier using Fashion-MNIST Dataset Tutorial
In this tutorial, you will learn & understand how to use autoencoder as a classifier in Python with Keras. You'll be using Fashion-MNIST dataset as an example.
Aditya Sharma
20 juillet 2018
Reconstructing Brain MRI Images Using Deep Learning (Convolutional Autoencoder)
In this tutorial, you'll learn & understand how to read nifti format brain magnetic resonance imaging (MRI) images, reconstructing them using convolutional autoencoder.
Aditya Sharma
27 juin 2018
Reconstructing Fingerprint Images Using Deep Learning (Convolutional Autoencoder)
In this tutorial, you will learn and understand how to read jpeg format fingerprint images, reconstructing them using convolutional autoencoder.
Aditya Sharma
26 juin 2018
TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
Thushan Ganegedara
6 juin 2018
Demystifying Generative Adversarial Nets (GANs)
Learn what Generative Adversarial Networks are without going into the details of the math and code a simple GAN that can create digits!
DataCamp Team
9 mai 2018
Implementing Autoencoders in Keras: Tutorial
In this tutorial, you'll learn more about autoencoders and how to build convolutional and denoising autoencoders with the notMNIST dataset in Keras.
Aditya Sharma
4 avril 2018
Convolutional Neural Networks in Python with Keras
In this tutorial, you’ll learn how to implement Convolutional Neural Networks (CNNs) in Python with Keras, and how to overcome overfitting with dropout.
Aditya Sharma
5 décembre 2017
Deep Learning with Jupyter Notebooks in the Cloud
This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.
Dan Becker
23 mars 2017