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 Kingston

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

  • 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 Kingston
Deep Learning Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Python is the language of deep learning. Participants in the deep learning course should have a thorough understanding of the principles of programming, as well as a solid understanding of the fundamentals of statistics and mathematics, as well as a clear grip on the critical knowledge portions of machine learning. This deep learning course in Kingston is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Deep learning teaches using botorganizeded anorganizedtured data. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data. . Companies like to hire people who have completed this deep learning course. Students receive practical experience by working on real-world projects.

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 Kingston

  • St.LawrenceCollege | Location details: 100 Portsmouth Ave, Kingston, ON K7L 5A6 | Classification: College, College | Visit Online: stlawrencecollege.ca | Contact Number (Helpline): (613) 544-5400
  • BrunelUniversityLondon | Location details: Kingston Ln, London, Uxbridge UB8 3PH, United Kingdom | Classification: University, University | Visit Online: brunel.ac.uk | Contact Number (Helpline): +44 1895 274000
  • KingstonInstituteAustralia(KIA) | Location details: Level 7/8 Quay St, Haymarket NSW 2000, Australia | Classification: Technical school, Technical school | Visit Online: kingston.nsw.edu.au | Contact Number (Helpline): +61 2 8065 2990
  • AroundTheBendDrivingSchoolAddlestone | Location details: 3 Charlecombe Court, Kingston Road, Staines, London, United Kingdom TW18 1BJ, United Kingdom | Classification: Driving school, Driving school | Visit Online: aroundthebend.co.uk | Contact Number (Helpline): +44 800 316 3633
  • WoltersKluwerTax&AccountingUK | Location details: 145 London Rd, Kingston upon Thames KT2 6SR, United Kingdom | Classification: Software company, Software company | Visit Online: wolterskluwer.co.uk | Contact Number (Helpline): +44 20 8247 1100
  • EfficientCleaningLondonLtd. | Location details: 23, Brooklands court, Surbiton Rd, Kingston upon Thames KT1 2HE, United Kingdom | Classification: House cleaning service, House cleaning service | Visit Online: efficient-cleaninglondon.co.uk | Contact Number (Helpline): +44 20 8288 9858
  • AcademyOfLearningCollege | Location details: 1469 Princess St, Kingston, ON K7M 3E9 | Classification: College, College | Visit Online: aolccollege.ca | Contact Number (Helpline): (613) 544-8973
  • Town&CountryBookkeeping&Training | Location details: 556 O'Connor Dr, Kingston, ON K7P 1N3 | Classification: Bookkeeping service, Bookkeeping service | Visit Online: townandcountrybookkeeping.com | Contact Number (Helpline): (613) 544-3098
  • LondonAndSurreyGasServicesLtd | Location details: 423 Kingston Rd, Wimbledon Chase, London SW20 8JR, United Kingdom | Classification: Heating contractor, Heating contractor | Visit Online: londonsurreygasservices.org.uk | Contact Number (Helpline): +44 20 8543 3900
  • MadeInUKWebDesign | Location details: 3, Salamander Quay, Hampton Wick, Kingston upon Thames KT1 4JB, United Kingdom | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline): +44 7708 519390
  • FuneralTech | Location details: 200 Binnington Ct, Kingston, ON K7M 8R6 | Classification: Website designer, Website designer | Visit Online: funeraltech.com | Contact Number (Helpline): +1 800-480-6467
  • LearningWithTechnologies | Location details: 10 Kingston Park Ct, Knoxfield VIC 3180, Australia | Classification: Computer store, Computer store | Visit Online: lwt.com.au | Contact Number (Helpline): +61 1300 550 717
  • TrainingTrack | Location details: 71-73 Kingston St, Glasgow G5 8BJ, United Kingdom | Classification: Education, Education | Visit Online: | Contact Number (Helpline): +44 845 805 2652
In response, the City considered implementing an Interim Control Rule in early 2017. Zoning Bylaw No. After additional review and consideration, staff recommended to council that instead of focusing the study on three constituencies, begin developing a growth strategy that looks holistically at the regulated major residential areas of the city. , Williamsville and Sydenham, which are areas of growth pressure. 17-139). 2 Study Area The study area includes the residential areas of downtown Kingston, excluding residential areas within the proposed North King City Second Plan and Kingston Provincial Township Secondary Plan. This resulted in additions and large-scale apartment renovations, as well as conversion of one apartment into two or more apartments. These , Central Kingston residential areas are governed by Zoning By-law No. The Central Kingston Growth Strategy provides a policy and regulatory framework to guide future residential development in the city center by directing residential development to strategic locations and locations and reducing it in other areas. Future residential development is projected in defined strategic locations and locations to meet housing demand, which will help alleviate further pressures to convert or densify single-story dwellings.

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