Fundamentals of Deep Learning – Activation Functions and When to Use Them?
ArticleVideo BookInterview Quiz Overview Activation function is one of the building blocks on Neural Network Learn about the different activation functions in deep learning …
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11 most read Deep Learning Articles from Analytics Vidhya in 2017
ArticleVideo Book Introduction This is that time of year, when you reflect on the year gone by. 2017 has been a year of growth for …
Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
ArticleVideo BookInterview Quiz Introduction Let me open this article with a question – “working love learning we on deep”, did this make any sense …
2 days to go for the DataHack Summit
ArticleVideo Book Introduction What do you think of when you hear the word “Summit” or “Conference”? You think, knowledgeable talks and theoretical buzz. Research …
30 Questions to test a Data Scientist on Deep Learning (Solution – Skill test, July 2017)
ArticleVideo Book Introduction Whether you are a novice at data science or a veteran with Deep Learning Course certification, Deep learning is hard to …
Architecture of Convolutional Neural Networks (CNNs) demystified
ArticleVideo Book Introduction I will start with a confession – there was a time when I didn’t really understand deep learning. I would look …
Transfer learning and the art of using Pre-trained Models in Deep Learning
ArticleVideo BookInterview Quiz Introduction Neural networks are a different breed of models compared to the supervised machine learning algorithms. Why do I say so? …
25 Must Know Terms & concepts for Beginners in Deep Learning
ArticleVideo Book Artificial Intelligence, deep learning, machine learning — whatever you’re doing if you don’t understand it — learn it. Because otherwise you’re going to be a dinosaur …
40 Questions on Probability for data science
ArticleVideo Book Introduction Probability forms the backbone of many important data science concepts from inferential statistics to Bayesian networks. It would not be wrong …
Introduction to Conditional Probability and Bayes theorem in R for data science professionals
ArticleVideo Book Introduction Understanding of probability is must for a data science professional. Solutions to many data science problems are often probabilistic in nature. Hence, …
