Node.js is a well-known server-side but also a network-based web runtime environment. Developers use this software all over the world khổng lồ make immersive & event-driven applications. All common website servers, especially IIS & Apache, work fine with Node.js code. The backend of Node.js applications was javascript.

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The Linux Foundation has collaborated on Node.js. As a result, Node.js speaks khổng lồ a "JavaScript anywhere" worldview, uniting web application development around a single programming language rather than several dialects for server- và client-side content.


Node.js is an interface technology that developers are increasingly exploring và integrating. Several well-known web applications & utilities now use this tool. Here are some of Nodejs' most notable general functions.

Nodejs is better suited for real-time website apps because it uses push technologies over sockets.It is data-driven, lightweight, và effective.Capacity to accommodate a much larger number of simultaneous links.It runs on a single thread, taking less energy & delivering content faster.Ensures that both the front end and the back end are developed consistently.Using both automated and scripts, Nodejs framework testing has proved to lớn be much simpler.A package manager for Node.js

This is mostly used to load node programmes. It can also be used during the implementation period, as it allows specifying và linking dependencies a breeze. This utility only works with the command prompt or shell, và it takes a basic understanding of DOS or Shell khổng lồ get started with Nodejs app dependency.

To tìm kiếm the version of Node.js you have installed, type the following line:

nodejs -v

After you've installed the Node.js update from the Ubuntu repository, you will decide if you want to khuyễn mãi giảm giá with separate releases, file files, or version managers. Following that, we'll discuss these components as well as more adaptable & durable assembly methods.

Install using NPM

We'll install Nodejs first, followed by Node Package Manager (npm):

To install nodejs on your Ubuntu device, xuất hiện the terminal and type the command:

sudo apt-get install nodejs


To install npm, enter the following command on the terminal until Nodejs is installed.

sudo apt-get install npm


Completing all of these must not take longer than a few minutes. Because of its enormous success, the Nodejs module is now included in the Ubuntu package manager. This is supported by any current Linux package manager.

To see npm module support and various command-line choices, run the following command.

npm --help


As you can see, there are a few options for getting Node.js operating on Ubuntu 16.04. You'll know which option is better for you based on your conditions. The prepackaged variant in Ubuntu's repositories is the most straightforward, but the nvm approach is more flexible lượt thích E2E networks which is a self-service cloud platform that is designed lớn provide high capacity for the web/mobile server-side applications.

Let’s talk about the products & services offered by E2E Cloud:

E2E Block Storage

E2E Block Storage allows us lớn use block-level data capacities for our computing nodes. These volumes can be connected lớn the computing nodes, allowing them lớn access their data & file system. If your node runs Linux, you should instal this volume file system in the same way you can any other file system.

Database as a Services(DBaaS)

E2E Database as a Services(DBaaS) makes it easy lớn set up, operate, và scale a relational database in the cloud. E2E Cloud offers a choice of fully managed relational databases, lớn fit the needs of modern tiện ích developers. Infrastructure management—including scalability, availability và security—is automated, saving you time and money. Focus on building applications while E2E managed databases make your job simpler.

Cloud GPUs

Cloud GPU compute for Al, machine learning, & deep learning. Accelerate your machine learning and high-performance computing applications with powerful E2E Cloud GPUs. Supports all the popular deep learning frameworks.

Windows on E2E Cloud

E2E offers the best cloud for Windows, & it is the right cloud platform for running Windows-based applications today & in the future. Windows computing nodes are one of our most popular compute nodes among developers và enterprise customers. Windows on E2E Cloud enables you to lớn increase or decrease capacity within minutes. You can commission as many servers as you require.

High Memory Cloud

The 2nd generation Memory Intensive computing node plans are designed khổng lồ offer double the amount of vCPUs và more than triple the amount of RAM at the same price compared khổng lồ the first generation. Experience higher throughputs by enhanced storage và improved networking.

Final Words

Nodejs is a programming language that can be used to build web applications of any scale and complexity. It is thought to be the future of website growth, và therefore we should continue to see improvements in the immediate future.

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Any business is enlivened by its customers. Therefore, a strategy to lớn constantly bring in new clients is an ongoing requirement. In this regard, having a proper customer acquisition strategy can be of great importance.

So, if you are just starting your business, or planning to lớn expand it, read on khổng lồ learn more about this concept.

The problem with customer acquisition

As an organization, when working in a diverse & competitive market lượt thích India, you need khổng lồ have a well-defined customer acquisition strategy lớn attain success. However, this is where most startups struggle. Now, you may have a great sản phẩm or service, but if you are not in the right place targeting the right demographic, you are not likely to get the results you want.

To resolve this, typically, companies invest, but if that is not channelized properly, it will be futile.

So, the best way out of this dilemma is to have a clear customer acquisition strategy in place.

How can you create the ideal customer acquisition strategy for your business?

Define what your goals are

You need to lớn define your goals so that you can meet the revenue expectations you have for the current fiscal year. You need to find a value for the metrics –

MRR – Monthly recurring revenue, which tells you all the income that can be generated from all your income channels.CLV – Customer lifetime value tells you how much a customer is willing lớn spend on your business during your mutual relationship duration. CAC – Customer acquisition costs, which tells how much your organization needs khổng lồ spend khổng lồ acquire customers constantly.Churn rate – It tells you the rate at which customers stop doing business.

All these metrics tell you how well you will be able to grow your business và revenue.

Identify your ideal customers

You need to lớn understand who your current customers are và who your target customers are. Once you are aware of your customer base, you can focus your energies in that direction và get the maximum sale of your products or services. You can also understand what your customers require through various analytics & markers và address them to leverage your products/services towards them.

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Choose your channels for customer acquisition

How will you acquire customers who will eventually tell at what scale và at what rate you need khổng lồ expand your business? You could market & sell your products on social truyền thông media channels lượt thích Instagram, Facebook & YouTube, or invest in paid sale like Google Ads. You need lớn develop a unique strategy for each of these channels. 

Communicate with your customers

If you know exactly what your customers have in mind, then you will be able to lớn develop your customer strategy with a clear perspective in mind. You can vị it through surveys or customer opinion forms, email liên hệ forms, blog posts và social media posts. After that, you just need khổng lồ measure the analytics, clearly understand the insights, & improve your strategy accordingly.

Combining these strategies with your long-term business plan will bring results. However, there will be challenges on the way, where you need khổng lồ adapt as per the requirements to make the most of it. At the same time, introducing new technologies like AI và ML can also solve such issues easily. To learn more about the use of AI & ML & how they are transforming businesses, keep referring lớn the blog section of E2E Networks.

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3D reconstruction is one of the most complex issues of deep learning systems. There have been multiple types of research in this field, and almost everything has been tried on it — computer vision, computer graphics và machine learning, but to no avail. However, that has resulted in CNN or convolutional neural networks foraying into this field, which has yielded some success.

The Main Objective of the 3d Object Reconstruction

Developing this deep learning giải pháp công nghệ aims to lớn infer the shape of 3d objects from 2d images. So, to lớn conduct the experiment, you need the following:

Highly calibrated cameras that take a photograph of the image from various angles.Large training datasets can predict the geometry of the object whose 3d image reconstruction needs to lớn be done. These datasets can be collected from a database of images, or they can be collected & sampled from a video.

By using the apparatus and datasets, you will be able to lớn proceed with the 3 chiều reconstruction from 2 chiều datasets.

State-of-the-art technology Used by the Datasets for the Reconstruction of 3 chiều Objects

The giải pháp công nghệ used for this purpose needs lớn stick lớn the following parameters:


Training with the help of one or multiple RGB images, where the segmentation of the 3 chiều ground truth needs to lớn be done. It could be one image, multiple images or even a video clip stream.

The testing will also be done on the same parameters, which will also help to create a uniform, cluttered background, or both.


The volumetric đầu ra will be done in both high and low resolution, & the surface output đầu ra will be generated through parameterisation, template deformation và point cloud. Moreover, the direct & intermediate outputs will be calculated this way.

Network architecture used

The architecture used in training is 3D-VAE-GAN, which has an encoder & a decoder, with TL-Net & conditional GAN. At the same time, the testing architecture is 3D-VAE, which has an encoder and a decoder.

Training used

The degree of supervision used in 2d vs 3d supervision, weak supervision along with loss functions have to lớn be included in this system. The training procedure is adversarial training with joint 2D & 3D embeddings. Also, the network architecture is extremely important for the speed và processing chất lượng of the đầu ra images.

Practical applications & use cases

Volumetric representations & surface representations can vày the reconstruction. Powerful computer systems need lớn be used for reconstruction.

Given below are some of the places where 3 chiều Object Reconstruction Deep Learning Systems are used:

3D reconstruction công nghệ can be used in the Police Department for drawing the faces of criminals whose images have been procured from a crime site where their faces are not completely revealed.It can be used for re-modelling ruins at ancient architectural sites. The rubble or the debris stubs of structures can be used to lớn recreate the entire building structure và get an idea of how it looked in the past.They can be used in plastic surgery where the organs, face, limbs or any other portion of the body has been damaged & needs khổng lồ be rebuilt.It can be used in airport security, where concealed shapes can be used for guessing whether a person is armed or is carrying explosives or not.It can also help in completing DNA sequences.

So, if you are planning khổng lồ implement this technology, then you can rent the required infrastructure from E2E Networks & avoid investing in it. Và if you plan to lớn learn more about such topics, then keep a tab on the blog section of the website. 

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For all data science enthusiasts who would love to lớn dig deep, we have composed a write-up about Q-Learning specifically for you all. Deep Q-Learning và Reinforcement learning (RL) are extremely popular these days. These two data science methodologies use Python libraries lượt thích TensorFlow 2 và openAI’s thể hình environment.

So, read on to know more.

What is Deep Q-Learning?

Deep Q-Learning utilizes the principles of Q-learning, but instead of using the Q-table, it uses the neural network. The algorithm of deep Q-Learning uses the states as input và the optimal Q-value of every action possible as the output. The agent gathers and stores all the previous experiences in the memory of the trained tuple in the following order:

State> Next state> Action> Reward

The neural network training stability increases using a random batch of previous data by using the experience replay. Experience trả lời also means the previous experiences stocking, & the target network uses it for training and calculation of the Q-network và the predicted Q-Value. This neural network uses openAI Gym, which is provided by taxi-v3 environments.

Now, any understanding of Deep Q-Learning is incomplete without talking about Reinforcement Learning.

What is Reinforcement Learning?

Reinforcement is a subsection of ML. This part of ML is related lớn the kích hoạt in which an environmental agent participates in a reward-based system & uses Reinforcement Learning lớn maximize the rewards. Reinforcement Learning is a different technique from unsupervised learning or supervised learning because it does not require a supervised input/output pair. The number of corrections is also less, so it is a highly efficient technique.

Now, the understanding of reinforcement learning is incomplete without knowing about Markov Decision Process (MDP). MDP is involved with each state that has been presented in the results of the environment, derived from the state previously there. The information which composes both states is gathered & transferred to the decision process. The task of the chosen agent is lớn maximize the awards. The MDP optimizes the actions & helps construct the optimal policy.

For developing the MDP, you need lớn follow the Q-Learning Algorithm, which is an extremely important part of data science & machine learning.

What is Q-Learning Algorithm?

The process of Q-Learning is important for understanding the data from scratch. It involves defining the parameters, choosing the actions from the current state và also choosing the actions from the previous state và then developing a Q-table for maximizing the results or output đầu ra rewards.

The 4 steps that are involved in Q-Learning:

Initializing parameters – The RL (reinforcement learning) mã sản phẩm learns the mix of actions that the agent requires in the state, environment & time.Identifying current state – The mã sản phẩm stores the prior records for optimal kích hoạt definition for maximizing the results. For acting in the present state, the state needs lớn be identified và perform an action combination for it. Choosing the optimal action set & gaining the relevant experience – A Q-table is generated from the data with a mix of specific states and actions, & the weight of this data is calculated for updating the Q-Table to the following step.

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Updating Q-table rewards and next state determination – After the relevant experience is gained and agents start getting environmental records. The reward amplitude helps to lớn present the subsequent step.

In case the Q-table size is huge, then the generation of the model is a time-consuming process. This situation requires Deep Q-learning.

Hopefully, this write-up has provided an outline of Deep Q-Learning & its related concepts. If you wish lớn learn more about such topics, then keep a tab on the blog section of the E2E Networks website.

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