Deep Learning
What is perceptron?
The perceptron is a type of artificial neural network (ANN) that is designed to recognize patterns in data. It can...
Read More βWhat is L1 and L2 regularization in Deep Learning?
In deep learning, L1 and L2 regularization are regularization techniques used to penalize the model’s weights during the training process....
Read More βWhat is the difference between LSTM and GRU?
Introduction to LSTM (Long Short-Term Memory)Imagine you’re at a murder mystery dinner. At the very beginning, the Lord of the...
Read More βDifference between Artificial Intelligence, Machine Learning and Deep Learning?
Artificial intelligence (AI) is a term that encompasses computer systems designed to imitate human intelligence. It is an exciting field...
Read More βWhat is semi-supervised Learning?
Semi-supervised learning is a technique in between supervised and unsupervised learning. Arguably, it should not be a category of machine...
Read More βWhat is LSTM and How does it work?
One of the most common problems in RNNs is called gradient vanishing. LSTM architectures help you with this. A very...
Read More βWhat is Recurrent Neural Network and how does it work?
Recurrent neural network is a type of deep learning algorithm which is used to process sequential data. The main idea...
Read More βWhat are Convolutional Neural Networks? What can They do?
Convolutional Neural Networks were originally developed by Yann Lecun, who was working at Bell Labs in New Jersey, and Geoffrey...
Read More βTop 3 books to read about Computer Vision?
1 β Computer Vision: Algorithm and Application Click here to read Free PDF The focus of this book is on...
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Difference between Deep Learning and Natural Language Processing?
If you’re getting into AI, one of the first things that confuses people is the difference between deep learning and...
Read More βWhat is Deep Learning?
Deep learning is a subset of Machine learning, which in turn is a subset of artificial intelligence, artificial intelligence is...
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