The primary use of RNNs is at predicting a sequence of data. eg: Poem Generator or Auto-filling of sentences. When we talk about RNNs, pictures like these come into our minds. These are nothing but basic RNN cells.
1)Gradient Update Rule:
New weight = Current Weight - (learning rate * gradient)
In short, Backpropagation is the backward wave of calculations of gradients for each neuron layer backward with the help of loss function. The loss function is calculated during Feed forward training(Forward wave of calculations). …
OpenCV is a popular Computer Vision library mostly used for real-time applications. In this blog, we go through the 9 most frequently used OpenCV functions to use the library efficiently along with code examples.
import cv2 as cv
img = cv.imread('PATH OF THE IMAGE IN YOUR LOCAL SYSTEM')
gray = cv.cvtColor(img,cv.COLOR_BGR2GRAY)
Random forest is an example of ensemble learning which is used both in classification and regression problem statements.
Must know terms:
Ensemble learning = Using the output of multiple algorithms or models rather than depending on single algorithm or model.
RS = Row Sampling = Taking some sample of rows from main dataset to feed into decision trees or sub-models.
FS = Feature Sampling or Column Sampling = Taking some sample of features from the main dataset to feed into the decision trees or sub-models.
Bagging =Abbreviated as Bootstrap aggregating (basically the process of splitting the data ie, (row sampling…
Will it make the SMART AND BRAINY obsolete?
Smart and Brainy. These two nerd attributes are probably the most sought after goal that everyone has across different fields. Everyone likes to be the know-it-all in some way, at least in front of some people. What is smartness anyway? In simple terms, I can say it as the rate of transfer of stored data from the brain. But is that not what computers do? Can machines do it better? Can machines help us do it better? Can everyone in the world become smart at the same time?
“No problem can be…
Hypothetically let us assume that all organisms are pre-written programs or algorithms and that bees and trees are just a collection of different methods() and functions() for processing data.
This thought collapses the barrier between animals and machines and also leads to think the possibility of electronic algorithms to finally decipher and outperform biochemical algorithms.
So in short, Dataism believes and declares that the whole universe is a collection of a huge amount of complex data flows and the usage and value of any entity are shaped by its contribution to data processing.
To illustrate this, lets look at the…
Even though there are millions of positive ways in which the application of Artificial intelligence(AI) and machine learning(ML) impacts humanity,my first blog is just collection some thoughts of what might go wrong in near future.After all it is such thoughts that separates us from them right….?
“It is not the strongest or the most intelligent who will survive but those who can best manage change.”
― Leon C. Megginson
GO was invented in China more than 2,500 years ago and is believed to be the oldest board game continuously played to the present day.
“Alpha-go”-This word still incites both the…