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100 Days of Machine Learning - A Complete Guide For Beginners
Last Updated: 21 September 2023
Machine learning is a rapidly growing field within the broader domain of Artificial Intelligence. It involves developing algorithms that can automatically learn patterns a...read more
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Deep Learning Tutorial
Last Updated: 09 May 2023
Deep learning is a branch of machine learning which is completely based on artificial neural networks, as neural networks are going to mimic the human brain so deep learni...read more
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Python OpenCV - Pose Estimation
Last Updated: 04 January 2023
What is Pose Estimation?Pose estimation is a computer vision technique that is used to predict the configuration of the body(POSE) from an image. The reason for its import...read more
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Similar Topics
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LSTM - Derivation of Back propagation through time
Last Updated: 27 December 2021
LSTM (Long short term Memory ) is a type of RNN(Recurrent neural network), which is a famous deep learning algorithm that is well suited for making predictions and classif...read more
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Implementation of neural network from scratch using NumPy
Last Updated: 18 April 2023
DNN(Deep neural network) in a machine learning algorithm that is inspired by the way the human brain works. DNN is mainly used as a classification algorithm. In this artic...read more
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Learning Vector Quantization
Last Updated: 07 January 2023
Learning Vector Quantization ( or LVQ ) is a type of Artificial Neural Network which also inspired by biological models of neural systems. It is based on prototype supervi...read more
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Self Organizing Maps - Kohonen Maps
Last Updated: 18 April 2023
Self Organizing Map (or Kohonen Map or SOM) is a type of Artificial Neural Network which is also inspired by biological models of neural systems from the 1970s. It follows...read more
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Deep Neural net with forward and back propagation from scratch - Python
Last Updated: 08 June 2020
This article aims to implement a deep neural network from scratch. We will implement a deep neural network containing a hidden layer with four units and one output layer. ...read more
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Choose optimal number of epochs to train a neural network in Keras
Last Updated: 28 February 2023
One of the critical issues while training a neural network on the sample data is Overfitting. When the number of epochs used to train a neural network model is more than n...read more
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Residual Networks (ResNet) - Deep Learning
Last Updated: 10 January 2023
After the first CNN-based architecture (AlexNet) that win the ImageNet 2012 competition, Every subsequent winning architecture uses more layers in a deep neural network to...read more
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Difference Between Machine Learning and Deep Learning
Last Updated: 05 June 2023
If you are interested in building your career in the IT industry then you must have come across the term Data Science which is a booming field in terms of technologies and...read more
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Human Activity Recognition - Using Deep Learning Model
Last Updated: 27 December 2021
Human activity recognition using smartphone sensors like accelerometer is one of the hectic topics of research. HAR is one of the time series classification problem. In th...read more
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Understanding of LSTM Networks
Last Updated: 05 June 2023
This article talks about the problems of conventional RNNs, namely, the vanishing and exploding gradients, and provides a convenient solution to these problems in the form...read more
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Difference Between Artificial Intelligence vs Machine Learning vs Deep Learning
Last Updated: 10 March 2023
Artificial Intelligence is basically the mechanism to incorporate human intelligence into machines through a set of rules(algorithm). AI is a combination of two words: "Ar...read more
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ML | Underfitting and Overfitting
Last Updated: 31 August 2023
When we talk about the Machine Learning model, we actually talk about how well it performs and its accuracy which is known as prediction errors. Let us consider that we ar...read more
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