Deep Learning Training 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 Sabah Al Salem

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 Sabah Al Salem, chennai and europe countries. You can find many jobs for freshers related to the job positions in Sabah Al Salem.

  • 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 Sabah Al Salem
Deep Learning Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Companies like to hire people who have completed this deep learning course. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications. Python is the language of deep learning. Deep learning is a type of learning that entails Specialization in Sabah Al Salem will assist you in learning the fundamental ideas of deep learning, as well as understanding the problems, repercussions, and capacities of deep learning, as well as allowing you to contribute to the advancement of cutting-edge technology. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning. 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.

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 Sabah Al Salem

  • ArtFactoryKuwait | Location details: Sabah Al Salem, Kuwait | Classification: Art school, Art school | Visit Online: instagram.com | Contact Number (Helpline): +965 9601 7573
  • UnitedKnowledgeAcademy | Location details: Bavaria Towers, street 5, Sabah Al Salem, Kuwait | Classification: Education center, Education center | Visit Online: lcuk.online | Contact Number (Helpline): +965 2209 4009
  • KuwaitHospital | Location details: mohamed tahous nasser bin tahous street، Sabah Al Salem, Kuwait | Classification: Private hospital, Private hospital | Visit Online: kuwaithospital.com.kw | Contact Number (Helpline): +965 2220 7777
  • OxygenGymSabahAlsalem | Location details: Street 121, Sabah Al Salem, Kuwait | Classification: Gym, Gym | Visit Online: | Contact Number (Helpline):
  • AlArbeedComplex-مجمعالعربيد | Location details: St 102 Block 1, Building 408 & 409, Sabah Al Salem, Kuwait | Classification: Apartment complex, Apartment complex | Visit Online: business.site | Contact Number (Helpline): +965 2552 1113
  • SupplyOfAliSabahAl-Salem | Location details: X43X+GQ8, Ali Sabah Al Salem, Kuwait | Classification: Home goods store, Home goods store | Visit Online: | Contact Number (Helpline): +965 2327 4295
  • AliSabahAlSalemClinic | Location details: X43X+8P9, Ali Sabah Al Salem, Kuwait | Classification: Public medical center, Public medical center | Visit Online: | Contact Number (Helpline): +965 2328 3217
  • AlsmouCenterForConsultanciesAndTraining | Location details: Salem Sabah Al Salem Al Sabah St, Kuwait | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline): +965 6688 7712
  • HiltonKuwaitResort | Location details: Salem Sabah Al Salem Al Sabah Street Mangaf Kuwait City، Kuwait | Classification: , | Visit Online: hilton.com | Contact Number (Helpline): +965 2225 6222
  • Intersport | Location details: Sahara Murooj Off 6 Ring Road Murouj Complex،، Sabah Al Salem, Kuwait | Classification: Sporting goods store, Sporting goods store | Visit Online: intersport.com.kw | Contact Number (Helpline): +965 2205 7012
  • Zain | Location details: Sabah Al Salem Coop Main 3 B، 4، Sabah Al Salem, Kuwait | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: kw.zain.com | Contact Number (Helpline): +965 9444 1107
  • GSIAndCadMasters | Location details: 207, Sabah Al Salem, Kuwait | Classification: Training centre, Training centre | Visit Online: cadmasters.org | Contact Number (Helpline): +965 505 61697
  • PlatinumHealthClub | Location details: Sabah Al Salem, Fahaheel St., Masselah 15458, Kuwait | Classification: Gym, Gym | Visit Online: platinumkw.com | Contact Number (Helpline): +965 1880 008
  • TaibahTrainingAndConsultancyGroup | Location details: 732P+CWM, Sabah Al Salem, Kuwait | Classification: Training centre, Training centre | Visit Online: ttcg.co | Contact Number (Helpline): +965 2551 2762
  • OutpostAliSabahAl-Salem(UmmAl-Haiman) | Location details: X532+G47, Ali Sabah Al Salem, Kuwait | Classification: Traffic police station, Traffic police station | Visit Online: moi.gov.kw | Contact Number (Helpline): +965 2328 0393
  • HiltonKuwaitResort | Location details: Salem Sabah Al Salem Al Sabah Street Mangaf Kuwait City، Kuwait | Classification: , | Visit Online: hilton.com | Contact Number (Helpline): +965 2225 6222
 courses in Sabah Al Salem
The discovery of oil in 1938 and the first exports in 1946 fundamentally altered the Al Sabah's position. At the moment, numerous new residential areas are being built. Within the first three days of the announcement, 20,000 applications are said to have been submitted to the military. The Al Sabah family's authority has been based on mutual interest and exchange with local merchants and tribesmen since its inception. In an authorized demonstration in December 2017, thousands of Kuwaitis demonstrated against the United States' recognition of Jerusalem as Israel's capital. 5 million from the ministers of public works and state of municipal affairs alone in July 2018. Although Kuwait's basic infrastructure is fairly advanced, power outages are frequent during the hot summer months. He used the wealth to start infrastructure projects and establish a comprehensive welfare state with numerous educational and medical facilities. Bidoon are frequently portrayed in public discourse as possessing other citizenships and seeking Kuwaiti citizenship solely for its material benefits. The nation's five-year development plan for 2015 to 2019 centered on long-delayed infrastructure projects like building a new terminal for Kuwait Airport and a plan for the national railway.

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