Учебные материалы по ИИ

Будьте в курсе новейших методик, инструментов и исследований в области искусственного интеллекта. Наши руководства по ИИ проведут вас через сложные модели машинного обучения.

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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 сентября 2018 г.

Machine Learning and NLP using R: Topic Modeling and Music Classification

In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.

Debbie Liske

21 июня 2018 г.

TensorBoard Tutorial

Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!

Thushan Ganegedara

6 июня 2018 г.

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 мая 2018 г.

Tidy Sentiment Analysis in R

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!

Debbie Liske

29 марта 2018 г.

Lyric Analysis with NLP & Machine Learning with R

Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career.

Debbie Liske

2 февраля 2018 г.

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 декабря 2017 г.

Web Scraping & NLP in Python

Learn to scrape novels from the web and plot word frequency distributions; You will gain experience with Python packages requests, BeautifulSoup and nltk.

Hugo Bowne-Anderson

13 октября 2017 г.