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Deep learning allows machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected. The more deep learning algorithms learn, the better they perform. Deep learning is also known as deep structured learning or hierarchical learning.it is a machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. List of topics in deep learning we offer Deep Neural Networks Backpropagation & Mathematics Behind It CNNs, RNNs, LSTMs, GANs and the Maths Behind Them Stochastic Gradient Descent Deep Learning with (Keras, Tensor Flow, Pytorch) Building and Deploying Deep Learning Apps Using Kears, TensorFlow and Pytorch. Building a CNN using TensorFlow Deep Learning using Pytorch Fast.ai : Deep Learning Framework Transfer Learning : Research Work AutoML and Deep Learning Optimization DL Hands On and Best Practices

Here is list of basic algorithms topics we help Linear Regression Logistic Regression and Gradient Descent Statistical Modelling Decision Trees for Classification and Regression Random Forest Algorithm K-Means Clustering Gradient Boosting : XBoost and CatBoost Model Selection : Feature Selection, Dimensionality, Cross-Validation Model Evaluation : Performance Metrics Model Interpretation : Explainable AI & ML ML Hands On and Best Practices

Artificial Intelligence Blockchain Augmented Reality and Virtual Reality Cloud Computing Angular and React DevOps Internet of Things (IoT) Intelligent Apps (I – Apps) Big Data RPA (Robotic Process Automation)

Codersarts is a top rated website for online Deep Learning Expert Help. We offers services from solving researchers Homework help, Coursework Help, coding help to helping business to complete their works. Get your project or assignment completed by Deep learning expert and experienced developers and researchers. Submit a proposal OR If you have project files, You can send at codersarts@gmail.com  directly What is deep learning Machine Learning has vast topics and solving real life problems in this digital era. Deep learning is an important part of machine learning. There are a lots of possibilities of machines learning to do things humans currently do in our factories, warehouses, offices and homes. While the technology is evolving—quickly—along with fears and excitement, terms such as artificial intelligence, machine learning and deep learning may leave you perplexed. The field of artificial intelligence is essentially when machines can do tasks that typically require human intelligence. It covers machine learning, where machines can learn by experience and acquire skills without human involvement. Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Similarly to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome. We refer to ‘deep learning’ because the neural networks have various (deep) layers that enable learning. Just about any problem that requires “thought” to figure out is a problem deep learning can learn to solve. The amount of data we generate every day is staggering and it’s the resource that makes deep learning possible. Since deep-learning algorithms require a ton of data to learn from, this increase in data creation is one reason that deep learning capabilities have grown in recent years. In addition to more data creation, deep learning algorithms benefit from the stronger computing power that’s available today as well as the proliferation of Artificial Intelligence (AI) as a Service. AI as a Service has given smaller organizations access to artificial intelligence technology and specifically the AI algorithms required for deep learning without a large initial investment. Deep learning allows machines to solve complex problems even when using a data set that is very diverse, unstructured and inter-connected. The more deep learning algorithms learn, the better they perform. Deep learning is also known as deep structured learning or hierarchical learning.it is a machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks. Deep learning applied to following fields: Computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts. Artificial neural networks (ANNs) were inspired by information processing and distributed communication nodes in biological systems. ANNs have various differences from biological brains. Specifically, neural networks tend to be static and symbolic, while the biological brain of most living organisms is dynamic (plastic) and analog Let's have a look at practical examples of deep learning Virtual assistants Virtual assistants like Alexa or Siri or Cortana, the virtual assistants of online service providers use deep learning to help understand your speech and the language humans use when they interact with them. Translations Deep learning algorithms can automatically translate between languages. This can be powerful for travelers, business people and those in government. Vision for driverless delivery trucks, drones and autonomous cars The way an autonomous vehicle understands the realities of the road and how to respond to them whether it’s a stop sign, a ball in the street or another vehicle is through deep learning algorithms. The more data the algorithms receive, the better they are able to act human-like in their information processing—knowing a stop sign covered with snow is still a stop sign. Chatbots and service bots Chatbots and service bots that provide customer service for a lot of companies are able to respond in an intelligent and helpful way to an increasing amount of auditory and text questions thanks to deep learning. Image colorization Transforming black-and-white images into color was formerly a task done meticulously by human hand. Today, deep learning algorithms are able to use the context and objects in the images to color them to basically recreate the black-and-white image in color. The results are impressive and accurate. Facial recognition Deep learning is being used for facial recognition not only for security purposes but for tagging people on Facebook posts and we might be able to pay for items in a store just by using our faces in the near future. The challenges for deep-learning algorithms for facial recognition is knowing it’s the same person even when they have changed hairstyles, grown or shaved off a beard or if the image taken is poor due to bad lighting or an obstruction. Medicine and pharmaceuticals From disease and tumor diagnoses to personalized medicines created specifically for an individual’s genome, deep learning in the medical field has the attention of many of the largest pharmaceutical and medical companies. Personalized shopping and entertainment Ever wonder how Netflix comes up with suggestions for what you should watch next? Or where Amazon comes up with ideas for what you should buy next and those suggestions are exactly what you need but just never knew it before? Yep, it’s deep-learning algorithms at work. The more experience deep-learning algorithms get, the better they become. It should be an extraordinary few years as the technology continues to mature. 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JavaScript Comparison and Logical Operators Comparison and Logical operators are used to test for true or false. Comparison Operators Comparison operators are used in logical statements to determine equality or difference between variables or values. Given that x = 5, the table below explains the comparison operators: Operator Description Comparing Returns == equal to x == 8 false x == 5 true x == "5" true === equal value and equal type x === 5 true x === "5" false != not equal x != 8 true !== not equal value or not equal type x !== 5 false x !== "5" true x !== 8 true > greater than x > 8 false < less than x < 8 true >= greater than or equal to x >= 8 false <= less than or equal to x <= 8 true How Can it be Used Comparison operators can be used in conditional statements to compare values and take action depending on the result: if (age < 18) text = "Too young"; You will learn more about the use of conditional statements in the next chapter of this tutorial. Logical Operators Logical operators are used to determine the logic between variables or values. Given that x = 6 and y = 3, the table below explains the logical operators: Operator . Description Example =========================================================== && and (x < 10 && y > 1) is true || . or (x == 5 || y == 5) is false ! not . !(x == y) is true Conditional (Ternary) Operator JavaScript also contains a conditional operator that assigns a value to a variable based on some condition. Syntax: variablename = (condition) ? value1:value2 Example: If the variable age is a value below 18, the value of the variable voteable will be "Too young", otherwise the value of voteable will be "Old enough". Comparing Different Types Comparing data of different types may give unexpected results. When comparing a string with a number, JavaScript will convert the string to a number when doing the comparison. An empty string converts to 0. A non-numeric string converts to NaN which is always false. Case Value ===================================== 2 < 12 true 2 < "12" true 2 < "John" false 2 > "John" false 2 == "John" false "2" < "12" false "2" > "12" true "2" == "12" false When comparing two strings, "2" will be greater than "12", because (alphabetically) 1 is less than 2. To secure a proper result, variables should be converted to the proper type before comparison: age = Number(age); if (isNaN(age)) {    voteable = "Input is not a number"; } else {   voteable = (age < 18) ? "Too young" : "Old enough"; } for more visit other javascript category

Codersarts is a top rated website for students which is looking for online Enterprise Programming Assignment Help, Homework help, Coursework Help in C,C++,Java,Python,Database,Data structure, Algorithms ,Final year project,Android,Web,C sharp, ASP NET to students at all levels whether it is school, college and university level Coursework Help or Real time project. Hire us and Get your projects done by computer science expert for Enterprise Programming Here is Enterprise Programming Example Unit title: Enterprise Programming 6G6Z1103, 6G6Z1903 Assignment title: Developing, deploying, publishing and finding your own web service Learning outcomes being assessed: LO1: Critically analyse and implement Design Patterns LO2: Create and critically review distributed applications in a suitable language LO3: Apply knowledge of web services technology to create distributed systems LO4: Research and demonstrate knowledge and practical application of current and emerging enterprise level technologies Note: it is your responsibility to make sure that your work is complete and available for marking by the deadline. Make sure that you have followed the submission instructions carefully, and your work is submitted in the correct format, using the correct hand-in mechanism (e.g. Moodle upload). If submitting via Moodle, you are advised to check your work after upload, to make sure it has uploaded properly. Do not alter your work after the deadline. You should make at least one full backup copy of your work. Penalties for late hand-in: see Regulations for Undergraduate Programmes of Study (http://www.mmu.ac.uk/academic/casqe/regulations/assessment.php). The timeliness of submissions is strictly monitored and enforced. All coursework has a late submission window of 5 working days, but any work submitted with in the late window will be capped at 40%, unless you have an agreed extension. Work submitted after the 5-day window will be capped at zero, unless you have an agreed extension. Please note that individual tutors are unable to grant extensions to coursework. Extensions can only be granted on the basis of a PLP, or approved Exceptional Factors (see below). Assignment Details and Instructions In this assignment, you will create a simple service that is accessible in a variety of ways using different technologies, and critically assess these approaches. You will develop a simple Films info Web service from scratch, deploy it and develop a range of clients to access the data. Interface Your Films info API service will have the following (as a minimum) interface: public interface FilmInfo { public void addFilm (Film finfo); public Collection listFilm (); public Collection searchFilm(String searchStr); } The Film class can have attributes such as: FilmID, FilmName, FilmYear, FilmCredits, FilmDuration,FilmReview and others. You may amend the details of the attributes as needed. Storage In order to implement the addFilm, listFilm and searchFilm operations, you should use a cloud database to store and retrieve staff records, though you may decide to use a local storage option (such as mysql) to test your web services initially. You are to create a simple web based app to manage the above interface, and provide a variety of methods to access the data from a client app, as detailed below Technologies to use You should demonstrate proficiency in using the following technologies as part of your web service: Access to the data using simple http web service calls (10 marks) Options to return the data in text, json (the default) or xml (10 marks) Google App Engine or Microsoft Azure to implement the application on a remote cloud based server. (20 marks) A WSDL description of the interface to the web service (5 marks) Access to the data using REST type interaction (10 marks) An Ajax based web front end to retrieve the data and display in a suitable format using library based routines for an enhanced user interface (15 marks) Evaluation You are to give a critical analysis of your work and the techniques you have used. Here, you should evaluate the pros and cons of each approach, and design/implementation decisions taken. This section forms a major part of the assessment. You need to demonstrate that your code is professional, and follows sound Software Engineering techniques. You need to show where they are used in your code and why, giving an evaluation and the benefits of using these techniques. This will show your true understanding of both your code and the techniques used. You will need to show how your code encourages a team based approach to software production, and indicate aspects of your code and design which demonstrate this. (30 marks). Deliverables You should submit a zip (not rar or other formats) file containing the following documents: A PDF (not odt, doc or other formats) file showing your code working, using screenshots, and suitable descriptions. You should clearly indicate which sections you have completed. A README file describing the steps to invoke your programs for deploying, publishing and finding your Web service Commented code listings in the Eclipse project code (no need to show separately) An Eclipse project(s) with the code ready to compile. You may have more than one project for client and server if you wish. This is a good idea as you don’t need one all-encompassing project that does everything – it’s not realistic. The single file should have a filename of your name and student number (surname first), e.g.ZhaoWanqing02386456.zip Please note that the submission inbox on Moodle will not accept submissions larger than 100MB. Your zip file is unlikely to be this large unless you have used very large image files. Please check in good time that your work will fit within the size limit. If you need to go over 100Mb, provide a link in your documentation to the external site where you have stored the data. CAUTION: There are a number of online implementations of this and similar concepts. While it is OK to review these for ideas, it is not OK to copy whole or parts of these code examples and pass them off as your own. We will use an AUTOMATED PLAGIARISM CHECKER to compare your submissions against other students’ work and online examples.

Project sample Starting from the data in a table on a Google Sheet, the program must be able to: Access the Google Sheet document Read the dat in the table Combine text with data to write on the same Google Sheet the commentary (highlights) An example of the desired outcome can be found here: Project description: Whereas in this case the commentary has been obtained using concatenation and formulas.

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Web Services Assignment Help | Web Services Expert Help What is web Services? In more general term,Web services is communication between client and server with each other via the World Wide Web or internet. Or in more specific term, a Web service is a server running on a computer device, listening for requests at a particular port over a network, serving web documents (HTML, JSON, XML, Images). Popular Web Services Protocols are: SOAP(Simple Object Access Protocol) WSDL(Web Services Description Language) REST( REpresentational State Transfer) Hire expert for web services like SOAP,WSDL, REST and Web Services Homework help We offer following Web services web service Assignment Help in Java web service Assignment Help in Python web service Assignment Help in c# Create a web service in java simple php web service SOAP Assignment Help Rest Assignment Help Codersarts has become one of the most trusted platforms to help students, ,professional developer who are looking for coding help, and wanna hire programming developers. Our programmer and developers are well-known with intuitive tools,IDEs, and visual design, Codersarts allows anyone to get coding solutions easily and build a professional connection to make world most affordable place to expand and share work experiences. Keeping us on top of that foundation, we are creating and providing the best solutions and almost every type of coding solutions to help developers rapidly build fully functional web applications. The entire Codersarts platform is built with developers in mind and provides the tools they need to create incredible web applications. Please send us your web service project, assignment, homework inquiries with deadline at codersarts@gmail.com for the web services Assignment Solution.

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