Online or Offline Lectures!

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ONLINE OR OFFLINE?

After Coursera, Udemy and various online teaching platforms, our prestigious colleges started to think of taking online classes which ended a long summer- rainy break for every student who was eating, sleeping, Netflix the whole day.

Now, this schedule has been shifted to lecture-eat-sleep-Lecture. 

After the arrival of these online platforms to study, the demand for online teaching increased after youtube, Coursera, Udemy and various other platforms started to reach to students for different courses or small, simple topics. 

Why students preferred these online lectures? They could do it anywhere, anytime, pause, see it at 2x and many other options were opened up. The students wanted to learn at their convenience so they chose this. 

While being in a school or in a college, 

The big question here is, Are online Lectures the same as offline teaching?

Taking up the similarities we come up to the point that we sleep (toppers aside) and yeah! we are fed up of assignments in both of them. Just sitting and listening without any response has been one of the best parts of any class. Be it offline or online we always sleep late and wake up late w.r.t faculty of the 1st class. 

 

These all points were for against the classes but in favour of the classes, I would like to say that "WE DO STUDY" let it be only for our tests and exams and lately, the number of these assignments and tests have increased soo much that you can assume our amount of study.

Talking about the mischiefs we do in both the type of classes were different.

In the normal classes, we used to shift to the last benches and start humming, making various noises or just quietly ignoring the teachers.

In these online classes, it has been on different levels. Starting from keeping your mics on, and inviting our friends in the classes to do some unique stuff with the video cam on. Everyone would have seen many instances of these kinds of stuff in memes.

Students in the first class

EXAMS!

Yes! They are going too well with small preparations and lots of cheating via our famous WhatsApp university which has helped a lot no. of students to excel in exams and so we are thankful to our Online classes and its methods.

If we get a little serious here for attending these classes with great concentration, it has been tough for us. There have been instances where teachers take classes more than 1.5 hrs also(guidelines have been given by the government to not take a class for more than 45 mins). 

Various problems have also come up with students related to poor connectivity or unavailability of gadgets(There have been funds collected for these purposes and the facility has been provided to students which is rather a very good initiative taken by our college). Apart from this, teachers have been also cooperating with students by giving buffer days for tests and giving more days for assignments. Some of our teachers record their lectures so that students can watch them if there is less connectivity. So, we are really thankful to these teachers for their efforts for cooperating with students.

Yes, both Teachers and the Students have been frustrated by these online ways in some or the other way and from our students. But, on behalf of the students, we want our colleges to be opened and live our normal life rather than being in front of laptops the whole day.

The offline classes are far way better than these online classes and I am too waiting for colleges to reopen and be in the hostel and enjoy with friends and learning from the offline classes is something different and I hope everyone agrees to it!

Hoping to return to our college soon.

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What is Activation function in neural networks??

What is Activation function in neural networks??

Activation function are the mathematical equations that determine the output of the neural network. This equations are attached to all the neurons in the neural network and determines whether this particular neuron must be activated or not.

When we compare this Activation function with the brain it acts as the receptor  to send important information to the neuron.

The main function of the Activation function in the neural network is to extract all the important information for the given weights and features.

There are various types of Activation Functions some of the important Activation functions are mentioned below:

1.RELU ACTIVATION FUNCTION: The main advantage of  RELU ACTIVATION FUNCTION is that it does not activate all the neurons at the same time. Due to it all weights and biases are not updated .This makes neurons dead which never gets activated. As only some of the neurons are activated which contains important information it also reduces the problem of overfitting.

2.SIGMOID ACTIVATION FUNCTION: It is also called as logistic activation function. It is used for getting probability of the classes. So the probabilities vary between 0 to 1.It is mainly used for binary classification problems.

3.SOFTMAX ACTIVATION FUNCTION: It is similar to the sigmoid activation function it is also used for classification problems. It mainly classifies multiclass problems.

4.Tanh Activation function: It is also called as Hyperbolic activation function. It is similar to the  sigmoid activation function. The advantage of tanh Activation function is that for a negative input that the negative inputs will be mapped strongly negative and the zero inputs will be mapped nearly zero in the tanh graph.

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WHAT IS DATA SCIENCE?

You might be ambigious to know what is data science ?

In the beginning of the 21st century various application werewhich made the world connect globally.So the inflation of the people on digital pplatform increasedglobally and there was increase in large amount of data.It became necessary to manage this data and "DATA SCIENCE"came into existence.

"Data science means almost everything that has something to do with data collecting,analyzing and modelling.Yet the most importatnt thing is its application."

So consider the example you need to make a machine learning model for estimation of house prices.

How would you proceed to make this model?
* First step for proceeding would be collection of data such as price,area,loaction,etc.which is also called as features for estimation of house prices.
*Next step leads to DATA CLEANING of the Data which we have collected for model estimation.Sometimes unneccessary data is collected which increases the complexity of the problem.So it becomes mandatory to clean this data.
*Further step consists of DATA EXPLORATION AND ANALYSIS which makes understand pattern in our data.By recognizing the pattern we can eliminate the data whichh causes problem in model.
*This is followed by DATA MODELLING which builds the machine learning model on the basis of the data exploration and the analysis which we did before.*Next is DATA VALIDATION stage.During this stage the model which we have build is tested on the new data which our model doesn't know and checks any false prediction.If any false prediction is tested than that issue is fixed. 

All this things contribute toward data science  and is the basic knowledge to know and proceed towards Data Science.

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