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airbag-deploy

Air bags are supplemental protection and are designed to work best in combination with seat belts. Both frontal and side-impact air bags are generally designed to deploy in moderate to severe crashes and may deploy in even a minor crash.

auto-beam-control

The number of vehicles on our roads is burgeoning day by day. This is turn forced almost all this vehicle manufactures to think about the extra safety instruments and electronic controls to attach with these products for giving the users a safety derived in all road conditions through a mass flow traffic.

codebasics-datastructures-algorithms

codebasics_exercise-

convolutional-autoencoders

One of the first important results in Deep Learning since early 2000 was the use of Deep Belief Networks to pretrain deep networks. This approach is based on the observation that random initialization is a bad idea, and that pretraining each layer with an unsupervised learning algorithm can allow for better initial weights. Examples of such unsupervised algorithms are Deep Belief Networks, which are based on Restricted Boltzmann Machines, and Deep Autoencoders, which are based on Autoencoders. Although the first breakthrough result is related to Deep Belief Networks, similar gains can also be obtained later by Autoencoders

convolutional-neural-network-and-autoencoder-parallel

In deep learning, a convolutional neural network (CNN, or ConvNet) is a class of deep, feed-forward artificial neural networks, most commonly applied to analyzing visual imagery. An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction.

cpp-coding

decisiontree_iris_dataset

demoproject

Learning basics in git

dialerapp

The Problem with current IOS dialer app is that, unlike in other mobile OS, we can't search the name with the help of numpad(0,9).

dilaerapplication

The Problem with current iOS dialer app is that, unlike in other mobile OS, we can't search the name with the help of numpad(0,9).

emotion-detection-using-facial-expressions

Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions. This is both something that humans do automatically but computational methodologies have also been developed

emotion-recogintion-using-facial-expressions-with-autoencoders

Emotion recognition is the process of identifying human emotion, most typically from facial expressions as well as from verbal expressions. This is both something that humans do automatically but computational methodologies have also been developed

face-app

In this app if we take the photo of the user and send it to the server, the image is processed using machine learning alogorithams. If it recognize the person it will give details of the person from the database, otherwise it won't show any.

fibonacciwithtdd

Programme to generate fibonacci series up to n number of terms

fizzbuzzwithtdd

hackerrank

highlight-text

Highlight text case and accent insensitive

home-page-identification

Take input as screenshot of entire screen with browser window open and tells what is the website opened in the window.

iosdiallerapplication

The Problem with current iOS dialer app is that, unlike in other mobile OS, we can't search the name with the help of numpad(0,9).

linearregresssion_house_price_prediction

logisticregression_iris_dataset_binomial

logisticregression_iris_multinomial

naivebayes_playtennis

neuralnetworks_cat-vs-dog_recognisition

neuralnetworks_pima_dataset

objecttrackers

opendoor

primenumberwithtdd

Programme to find a number is prime number or not

python_practice