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What is Transfer Learning in Deep Learning?
Convolutional Neural Network process an image and come up with detecting low-level features in images like edges, corners, etc. These layers are successful in capturing the spatial and temporal dependencies in an image. This is done with the help of filters. But to train the model using simple CNN, we required large amount of data.…
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Implementation of Convolutional Neural Network
Convolutional Neural Network (CNN) is a class of Deep Learning, mainly use for Computer Vision. It is similar to artificial neural network, only difference is it uses convolutional mathematical linear operation instead of simple matrix multiplication in at-least one of its layer. Building a Convolutional Neural Network is nothing but building a human eye, how…
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Introduction to Artificial Neural Network
Inspired from brain, Artificial Neural Network is a tool use by Deep Learning. We can say Artificial Neural Network is recreation of brain into machine. But the question is how can we recreate that in a machine? The Neuron Neuron is the basic building block of artificial neural network, neuron has quite an interesting structure.…
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Evaluation Metric in Machine Learning
It is very important to check efficiency of the Machine Learning model. To check this, you have to evaluate the model based on some metric. But more important is a choice of metric to evaluate your machine learning model. Confusion Metric Confusion Metric is use to check the accuracy or correctness of your model. It…
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Decision Tree ; Explained
Decision tree is a non-parametric supervised machine learning algorithm, which can used for categorical as well as regression problem. It uses a tree structure to represent a number of possible decision paths and an outcome for each path. At each node, a question is asked and based on the answer of the question the path…
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Introduction to Decision Tree
Decision tree is a non-parametric supervised machine learning algorithm, which can used for categorical as well as regression problem. A decision tree uses a tree structure to represent a number of possible decision paths and an outcome for each path. At each node, a question is asked and based on the answer of the question…
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A Complete guide to Linear Regression
Linear Regression is a supervised type of Machine Learning algorithm. It helps for predicting the continuous value. What is Regression ? When your output is not a categorical (like yes/no or 0/1) neither is cluster (like c0, c1, etc.), but instead is a continuous value (like temperature, height, etc.) is a Regression. Linear Regression algorithm helps…
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Logistic Regression in Brief
Logistic Regression is a Supervised Machine Learning Algorithm used for the classification problem. Now, you might wonder how regression can be used for classification problem. It works on the principle of Simple Linear Regression. Logistic Regression is taken from the field of statistics, where it is used to categorize the classes into true or false,…
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Logistic Regression / Sigmoid Function
Logistic Regression is a Supervised Machine Learning Algorithm use for the classification problem. Now, you might wonder how regression can be use for classification problem. The reason is; it works on the principle of Simple Linear Regression. Logistic Regression is taken from the field of statistics, where it is used to categorize the classes into…