Deep Learning Training/Course by Experts

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Our Training Process

Deep Learning - Syllabus, Fees & Duration

MODULE 1

  • Introduction to Tensor Flow
  • Computational Graph
  • Key highlights
  • Creating a Graph
  • Regression example
  • Gradient Descent
  • TensorBoard
  • Modularity
  • Sharing Variables
  • Keras Perceptrons
  • What is a Perceptron?
  • XOR Gate

MODULE 2

  • Activation Functions
  • Sigmoid
  • ReLU
  • Hyperbolic Fns, Softmax Artificial Neural Networks
  • Introduction
  • Perceptron Training Rule
  • Gradient Descent Rule

MODULE 3

  • Gradient Descent and Backpropagation
  • Gradient Descent
  • Stochastic Gradient Descent
  • Backpropagation
  • Some problems in ANN Optimization and Regularization
  • Overfitting and Capacity
  • Cross-Validation
  • Feature Selection
  • Regularization
  • Hyperparameters

MODULE 4

  • Introduction to Convolutional Neural Networks
  • Introduction to CNNs
  • Kernel filter
  • Principles behind CNNs
  • Multiple Filters
  • CNN applications Introduction to Recurrent Neural Networks
  • Introduction to RNNs
  • Unfolded RNNs
  • Seq2Seq RNNs
  • LSTM
  • RNN applications

MODULE 5

Course Fees
10000+
20+
50+
25+

Deep Learning Jobs in Saudi Arabia

Enjoy the demand

Find jobs related to Deep Learning in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Saudi Arabia, chennai and europe countries. You can find many jobs for freshers related to the job positions in Saudi Arabia.

  • Software Engineer
  • Research Analyst
  • Data Analyst
  • Data Scientist
  • Data Engine
  • Image Recognition
  • Software Developer
  • Research Scientist
  • Instructor for Deep Learning
  • Applied Scientist

Deep Learning Internship/Course Details

Deep Learning internship jobs in Saudi Arabia
Deep Learning This deep learning course in Saudi Arabia is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. The foundations of deep learning and neural networks are covered, as well as techniques for improving neural networks, strategies for organizing and completing machine learning projects, convolutional neural networks, and their applications, recurrent neural networks and their methods and applications, and advanced topics such as deep reinforcement learning, generative adversarial networks, and adversarial attacks. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Deep learning is important because it automates feature generation, works well with unstructured data, has improved self-learning capabilities, supports parallel and distributed algorithms, is cost-effective, has advanced analytics, and is scalable. Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Saudi Arabia certification training is ideal for intermediate and advanced experts. Students receive practical experience by working on real-world projects. Companies like to hire people who have completed this deep learning course. Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation.

List of All Courses & Internship by TechnoMaster

Success Stories

The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.

List of Training Institutes / Companies in Saudi Arabia

  • GalaxySoftechSolutions | Location details: 4th Floor, NSH Tower, King Fahd Road, Al Rakah Al Janubiyah, Al Khobar 34227, Saudi Arabia | Classification: Software company, Software company | Visit Online: galaxysoftechsolutions.com | Contact Number (Helpline): +966 57 335 6725
  • KnowledgePlatformCompanyشركةمنصةالمعرفة | Location details: 6441 Said Ibn Zayd Rd, Qurtubah, Riyadh 13248, Saudi Arabia | Classification: Business to business service, Business to business service | Visit Online: kpco.com.sa | Contact Number (Helpline): +966 50 325 5906
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  • JubailIndustrialCollege | Location details: 8244 Rd Number 6, Al Huwaylat, Al Jubail 35718, Saudi Arabia | Classification: College, College | Visit Online: edugate.jic.edu.sa | Contact Number (Helpline): +966 13 340 2000
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  • JarirBookstore | Location details: Olaya St, Al Olaya, Riyadh 12213, Saudi Arabia | Classification: Book store, Book store | Visit Online: jarir.com | Contact Number (Helpline): +966 9200 00089
  • MiddleEastInformationTechnologiesServices | Location details: Business Center, King Saud St, 104, Dammam, Dammam Saudi Arabia | Classification: Software company, Software company | Visit Online: mamsys.net | Contact Number (Helpline): +966 50 123 7120
  • ASASAT | Location details: 6321 Olaya St, As Sahafah, Riyadh 13321, Saudi Arabia | Classification: Software company, Software company | Visit Online: asasatas.com.sa | Contact Number (Helpline): +966 50 275 8020
  • AbadnetInstituteForTraining | Location details: Ibn Shaheen Street, Ar Rawdah، Ar Rawdah, Riyadh 13213, Saudi Arabia | Classification: Training centre, Training centre | Visit Online: abadnet.com.sa | Contact Number (Helpline): +966 9200 09129
  • HyperPanda | Location details: Umm Al Hamam St, Umm Al Hamam Al Gharbi, دوف بلازا، Riyadh Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • معهدنجدالنسائي | Location details: شارع اسماء بنت ابي بكر، Tuwaiq, Riyadh 14921, Saudi Arabia | Classification: Computer training school, Computer training school | Visit Online: njd.com.sa | Contact Number (Helpline): +966 11 433 3344
  • DiamondCrystalCommunicationComplex | Location details: الحكم بن متعب، Ad Difa, Medina 42374, Saudi Arabia | Classification: Cell phone store, Cell phone store | Visit Online: | Contact Number (Helpline): +966 58 080 7600
  • MicrolineInformationTechnologies | Location details: 2141 Al Katani, Al Malaz, Riyadh 12831, Saudi Arabia | Classification: Corporate office, Corporate office | Visit Online: microlineksa.com | Contact Number (Helpline): +966 9200 07612
  • CollegeOfComputerAndInformationSciencesBuilding31 | Location details: PJF9+5XV, King Saud University, Riyadh 12372, Saudi Arabia | Classification: College, College | Visit Online: ccis.ksu.edu.sa | Contact Number (Helpline): +966 11 467 8585
  • Careem | Location details: Al Aridh, Medina 42313, Saudi Arabia | Classification: Transportation service, Transportation service | Visit Online: careem.com | Contact Number (Helpline): +966 9200 33786
  • IRSAABusinessSolutions | Location details: Office No 6, Building No 7693, Al -Hawari Street, Al - Malaz Area، Riyadh 11653, Saudi Arabia | Classification: BPO company, BPO company | Visit Online: irsaa.com | Contact Number (Helpline): +966 9200 08194
  • SEO Office No. 115, Al Mansoor Building, Damascus street, Al Qusais, Dubai- UAE Phone: +971-56-6609268, Website: http://www.seo.ae
  • Head Office (Riyadh) King Abdulaziz Street Rashid Al-Ballaa Building P.O. Box 220625 Riyadh 11311 Phone: +966 11 2920707 , +966 11 2914184, Website: https://scopicsoftware.com
  • Scopic Software 12 Carly Circle, Rutland MA 01543 US Phone: (855) 717-5586 (toll free), website: https://scopicsoftware.com
  • Levels 41 & 42 Emirates Towers, Sheikh Zayed Road, United Arab Emirates Tel: +971-43132840, Website: http://www.promaticsindia.com
  • Globter #301, Vision Tower, Business Bay, P.O.Box - 60418, United Arab Emirates Phone: +971 56 216 5922 Website: http://www.globtier.com
 courses in Saudi Arabia
A normal city economic system is business and supply oriented. Today, the total area of ​​Mecca is over 1,200 square kilometers (460 square miles). Mecca is divided into 34 districts.

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In 2010, Mecca and its surroundings became an important paleontology webpage for primate evolution with the discovery of the Saadanius fossil. By the 19th century, water play had all but disappeared before Osman Pasha started restoration and cleaning operations. 75 million gold dinars. Since then, dams have been built to address this problem. Paleontologists are concerned about the desire to find additional fossils in the area as part of their research. According to al-Kurdi, there were 89 floods in 1965.

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