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New to job-hunting? Tired of combing through numerous pamphlets? Want to make your resume stand out but don’t know how?Canva may just be the answer to these questions. Canva is a graphics design platform which gives you the option to optimize the visual elements of your resume according to your requirements and also provides a vast array of templates that give you a much needed head start while creating your resume.Why design your Resume using Canva?The design of your resume though not as crucial as the content is still very important. A well designed resume helps in making the content ... Read More
What are Canva’s Templates?Canva has a collection of pre-formatted, ready-to-use designs that speeds up your designing process and makes the task easy for you. They provide you the shortcut to a good design and help you create an engaging graphic in a few minutes.With a library of 400k+ templates, you don’t have to create designs from scratch. Canva covers numerous categories for you, from COVID-19 awareness and special events to educational, organizational needs, and more.Templates also help you build and maintain a better and an effective brand image. They are great for businesses.What are the features of Canva’s templates?Templates are ... Read More
If Canva is a graphic designer toolbox, then a grid is one if its fundamental elements. If you are new to graphic designing and trying to find a way to perfectly structure your designs better, then maybe you should start with grids because it can save a lot of your time.What is a grid?Grids are a feature which help you structure your designs in an appealing way and maximize the impact of the message you are trying to project to the audience. It may consist of images, videos, and even solid colours from your brand’s colour palette. It helps the ... Read More
Set out to create your brand new YouTube channel? Want to create a good first impression?A thumbnail is the first impression that your video makes on the web its important you choose a graphic designer tool. But with so many options available, which is the most convenient tool to use? Canva and Picmaker are arguably two of the most appealing and emerging giants in the world of graphic design. So when designing a thumbnail, which platform to opt for? Here is a little something which would help you decide.What is Canva?Canva is a free graphics design platform which aids in ... Read More
Starting out new on Canva and completely overwhelmed? When first starting out, Canva can be a tricky place to find your way through. The wide assortment of features which makes designing very easy may also sometimes lead to confusion if you are not well-versed with the platform. This may keep users from discovering the multiple smart and underrated uses of these features.Smart and unique ways to use Canva for Social MediaIn this article, we will see how you can use Canva and its features to promote a brand in smart and unique ways on Social Media platforms.Branding ImagesIf the images ... Read More
Want to explore your creativity as a graphic designer? Tired of using the same predefined templates? This is the right place for you. Canva provides you with the opportunity to custom create your template designs so that you can create exactly what you need with all the components of your choice.What are templates in Canva?Canva is a free graphics design platform which aids in creating a wide range of visual content such as presentation, invitations, posters, business cards and various other for use in social media and other visual platforms. Templates are the building blocks of these designs they are ... Read More
The infinite series of sine and cosine terms of frequencies $0, \omega_{0}, 2\omega_{0}, 3\omega_{0}, ....k\omega_{0}$is known as trigonometric Fourier series and can written as, $$\mathrm{x(t)=a_{0}+\sum_{n=1}^{\infty}a_{n}\:cos\:n\omega_{0} t+b_{n}\:sin\:n\omega_{0} t… (1)}$$Here, the constant $a_{0}, a_{n}$ and $b_{n}$ are called trigonometric Fourier series coefficients.Evaluation of a0To evaluate the coefficient $a_{0}$, we shall integrate the equation (1) on both sides over one period, i.e., $$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt=a_{0}\int_{t_{0}}^{(t_{0}+T)}dt+\int_{t_{0}}^{(t_{0}+T)}\left(\sum_{n=1}^{\infty}a_{n}\:cos\:n\omega_{0} t+b_{n}\:sin\:n\omega_{0} t\right)dt}$$$$\mathrm{\Rightarrow\:\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt=a_{0}T+\sum_{n=1}^{\infty}a_{n}\int_{t_{0}}^{(t_{0}+T)}cos\:n\omega_{0} t\:dt+\sum_{n=1}^{\infty}b_{n}\int_{t_{0}}^{(t_{0}+T)}sin\:n\omega_{0} t\:dt… (2)}$$As we know that the net areas of sinusoids over complete periods are zero for any non-zero integer n and any time $t_{0}$. Therefore, $$\mathrm{\int_{t_{0}}^{(t_{0}+T)}cos\:n\omega_{0} t\:dt=0\:\:and\:\:\int_{t_{0}}^{(t_{0}+T)}sin\:n\omega_{0} t\:dt=0}$$Hence, from equation (2), we get, $$\mathrm{\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt=a_{0}T}$$$$\mathrm{\therefore\:a_{0}=\frac{1}{T}\int_{t_{0}}^{(t_{0}+T)}x(t)\:dt… (3)}$$Using equation (3), ... Read More
What is Fourier Series?In the domain of engineering, most of the phenomena are periodic in nature such as the alternating current and voltage. These periodic functions could be analysed by resolving into their constituent components by a process called the Fourier series.Therefore, the Fourier series can be defined as under −“The representation of periodic signals over a certain interval of time in terms of linear combination of orthogonal functions (i.e., sine and cosine functions) is known as Fourier series.”The Fourier series is applicable only to the periodic signals i.e. the signals which repeat itself periodically over an interval from $(-\infty\:to\:\infty)$and ... Read More
To check if an object is a tensor or not, we can use the torch.is_tensor() method. It returns True if the input is a tensor; False otherwise.Syntaxtorch.is_tensor(input)Parametersinput – The object to be checked, if it is a tensor or not .OutputIt returns True if the input is a tensor; else False.StepsImport the required library. The required library is torch.Define a tensor or other object.Check if the created object is a tensor or not using torch.is_tensor(input).Display the result.Example 1# import the required library import torch # create an object x x = torch.rand(4) print(x) # check if the above ... Read More
The use of "with torch.no_grad()" is like a loop where every tensor inside the loop will have requires_grad set to False. It means any tensor with gradient currently attached with the current computational graph is now detached from the current graph. We no longer be able to compute the gradients with respect to this tensor.A tensor is detached from the current graph until it is within the loop. As soon as it is out of the loop, it is again attached to the current graph if the tensor was defined with gradient.Let's take a couple of examples for a better ... Read More