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 Wellington

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

  • 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 Wellington
Deep Learning . Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation. Python is the language of deep learning. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Companies like to hire people who have completed this deep learning course. 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. Deep learning teaches using botorganizeded anorganizedtured data. Students receive practical experience by working on real-world projects. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own.

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 Wellington

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  • EmbassyOfIrelandToNewZealand | Location details: 86 Victoria Street, Wellington Central, Wellington 6011, New Zealand | Classification: Embassy, Embassy | Visit Online: dfa.ie | Contact Number (Helpline): +64 4 471 2252
  • OpenCloudNZLtd | Location details: 34 Manners Street, Te Aro, Wellington 6011, New Zealand | Classification: Professional services, Professional services | Visit Online: opencloud.com | Contact Number (Helpline): +64 4 385 2794
  • NorthWestTrainingCouncil | Location details: Unit 33, Wellington Employment Park, Dunes Way, Liverpool L5 9RJ, United Kingdom | Classification: Training provider, Training provider | Visit Online: nwtc.co.uk | Contact Number (Helpline): +44 151 523 0808
  • AustralianProfessionalSkillsInstitute | Location details: Wellington Fair, 200 Wellington St, East Perth WA 6004, Australia | Classification: Educational institution, Educational institution | Visit Online: apsi.edu.au | Contact Number (Helpline): +61 8 6365 4386
  • NewZealandRedCross,WellingtonServiceCentre | Location details: Level 2/39 Webb Street, Te Aro, Wellington 6141, New Zealand | Classification: Community center, Community center | Visit Online: redcross.org.nz | Contact Number (Helpline): +64 4 805 0304
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  • G-Rank(eAnswerNetwork(I)PvtLtd) | Location details: No. 5/1, Ground Floor, Sliver Glade, Wellington St, Richmond Town, Bengaluru, Karnataka 560025, India | Classification: Internet marketing service, Internet marketing service | Visit Online: grank.co.in | Contact Number (Helpline): +91 80 4132 0469
  • ExpertDevelopmentsLimited | Location details: 19 Tennyson Street, Te Aro, Wellington 6011, New Zealand | Classification: Website designer, Website designer | Visit Online: expert.services | Contact Number (Helpline): +64 4 384 9833
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  • CharitiesServices | Location details: 45 Pipitea Street, Thorndon, Wellington 6011, New Zealand | Classification: Government office, Government office | Visit Online: charities.govt.nz | Contact Number (Helpline): +64 508 242 748
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  • HealthcareNz | Location details: 27 Manners Street, Te Aro, Wellington 6011, New Zealand | Classification: Home health care service, Home health care service | Visit Online: healthcarenz.co.nz | Contact Number (Helpline):
  • EmploymentNewZealand | Location details: 15 Stout Street, Wellington Central, Wellington 6011, New Zealand | Classification: Federal government office, Federal government office | Visit Online: employment.govt.nz | Contact Number (Helpline): +64 800 209 020
  • BigRockDesigns | Location details: Business Centre, 3 Wellington Park, Belfast BT9 6DJ, United Kingdom | Classification: Computer service, Computer service | Visit Online: bigrockdesigns.com | Contact Number (Helpline): +44 28 9038 8330
  • MobilityCarParkSpace | Location details: 50/48 Taranaki Street, Te Aro, Wellington 6011, New Zealand | Classification: Handicapped transportation service, Handicapped transportation service | Visit Online: | Contact Number (Helpline):
 courses in Wellington
Its School of Design was founded in 1886 and houses research centers on public health, sleep, Maori health, small and medium enterprise, disaster, and the quality of higher education. Massey University has a campus in Wellington called the "Creative Campus" and offers courses in Media and Business, Engineering and Technology, Health and Wellness, and the Creative Arts. Of all the students, 56% were female and 44% were male. Wellington has a mild marine climate and is the windiest city in the world in terms of average wind speeds. Legend has it that Kupe discovered and explored the area around the 10th century, with the initial settlement of the Maori iwi people such as Rangitāne and Muaūpoko. The Governor-General's residence, Government House (the current building was completed in 1910) is located in Newtown, across from the Basin Reserve. 5 million visitors at a time when New Zealand's population was 1. Wellington's transportation network includes rail and bus routes to the Kapiti Coast and Wairarapa, and ferries connecting the city to the South Island. It is the world's southernmost capital of a sovereign nation. Government buildings were built at Lambton Quay in 1876.

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