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Tensorboard helps to train NN models. This article is an overview of tensorboard and a framework for training a neural network using tensorboard with keras.
Covariate / Dataset shift occurs when variables / environment between your test & train data changes. This poses a problem in solving real life problems.
Master Linear Regression with 30 essential questions on models, coefficients, and intercepts to ace your next Data Science interview!
This article provides a simple deep learning based solution to Age detection problem. This includes use of neural networks & keras to predict age of person
An introduction to generative adversarial networks and generative models. Beginners guide to understand how GANs work in computer vision.
Get started with deep learning with keras and tensorflow in r. Learn how to install keras with tensorflow in R & build a neural network model on MNIST dataset.
Word embeddings are techniques used in natural language processing. This includes tools & techniques like word2vec, TD-IDF, count vectors, etc. Explore Now!
Learn about transfer learning, pre-trained models, their benefits, usage, fine-tuning techniques, and projects for identifying digits.
Here are 40 questions on R for data science which every R practitioner must know. Answer these 40 questions to test your skill level on R, dataframes
This article features the approach of Top 3 winners of Xtreme ML Hack. The participants had to predict the Volume and typologies of contacts at call center
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