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 Singapore

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

  • 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 Singapore
Deep Learning 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. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. This deep learning course in Singapore is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Students receive practical experience by working on real-world projects. Deep learning is a type of learning that entails Specialization in Singapore 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. Python is the language of deep learning. Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications. Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Singapore certification training is ideal for intermediate and advanced experts. 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.

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 Singapore

  • EunoiaJuniorCollege | Location details: 2 Sin Ming Pl, Singapore 573838 | Classification: Junior college, Junior college | Visit Online: eunoiajc.moe.edu.sg | Contact Number (Helpline): +65 6351 8388
  • Skool4KidzPreschool@YishunOleanderBreeze | Location details: Blk 512 Yishun St 51, #01-01, Singapore 760512 | Classification: Preschool, Preschool | Visit Online: skool4kidz.com.sg | Contact Number (Helpline): +65 6280 2272
  • DFAcademy@Yishun | Location details: 930 Yishun Ave 2, Singapore 769098 | Classification: School, School | Visit Online: dfacademy.com.sg | Contact Number (Helpline): +65 8717 8869
  • ExponentialLearningCentre(YishunTuition) | Location details: Blk 619 Yishun Ring Rd, #01-3226, Singapore 760619 | Classification: Education center, Education center | Visit Online: facebook.com | Contact Number (Helpline): +65 9745 2364
  • DIGGERSITE(YISHUN) | Location details: 91 Lor Chencharu, Singapore 769201 | Classification: School, School | Visit Online: diggersite.weebly.com | Contact Number (Helpline): +65 8802 0764
  • SmilingStarSpeedyChineseCharacterRecognition-BukitBatokEastAvenue4 | Location details: 273 Bukit Batok East Ave 4, Singapore 650273 | Classification: Educational consultant, Educational consultant | Visit Online: smilingstar.com.sg | Contact Number (Helpline): +65 9145 6321
  • OmegaCommercialSchool | Location details: 134 Jurong East Street 13, Singapore 600134 | Classification: School, School | Visit Online: omega.edu.sg | Contact Number (Helpline): +65 6334 3533
  • SwimToSurviveSwimSchool | Location details: 2 Bukit Batok Street 22, Singapore 659581 | Classification: Swimming instructor, Swimming instructor | Visit Online: swim2survive.com | Contact Number (Helpline): +65 9005 9173
  • LearningPoint-BukitTimah | Location details: 1 Jln Anak Bukit, #02-01D, Singapore 588996 | Classification: Education center, Education center | Visit Online: learningpoint.com.sg | Contact Number (Helpline): +65 6465 1101
  • OxfordInstitute | Location details: 15 Enggor St, #10-03 Realty Centre, Singapore 079716 | Classification: Language school, Language school | Visit Online: ola.oi.edu.sg | Contact Number (Helpline): +65 6734 8734
  • EdenSchool | Location details: 101 Bukit Batok West Ave 3, Singapore 659168 | Classification: Special education school, Special education school | Visit Online: edenschool.edu.sg | Contact Number (Helpline): +65 6265 7400
  • JoyWaltzAcademyAtJunction9 | Location details: Junction 9, #01-20 Yishun Ave 9, No. 18, Singapore 768897 | Classification: Music school, Music school | Visit Online: | Contact Number (Helpline): +65 8778 9187
  • Learn4OurFutureYishunStudentCare | Location details: Yishun Industrial Street 1, #01-28 Northpoint Bizhub, Singapore 768091 | Classification: Education center, Education center | Visit Online: learn4ourfuture.com | Contact Number (Helpline): +65 9616 1398
  • SignatureMusicSchool | Location details: 134 Jurong Gateway Rd #02-309K, Singapore 600134 | Classification: Music school, Music school | Visit Online: signature.edu.sg | Contact Number (Helpline): +65 6566 3456
  • StepUpLearning&Dance@SAFRAYishun | Location details: 60 Yishun Ave 4, #01-02, Singapore 769027 | Classification: Dance school, Dance school | Visit Online: stepup.sg | Contact Number (Helpline): +65 6758 3835
  • SASInstitutePteLtd | Location details: 1 Wallich St, #16-01/02 Guoco Tower, Singapore 078881 | Classification: Software company, Software company | Visit Online: sas.com | Contact Number (Helpline): +65 6398 8988
 courses in Singapore
Trusted foundation to power current and unborn guests ’ digital intentions The new data centre in Loyang Drive will be located lower than 25 kilometres from Singapore’s central business quarter and will give up to 50 megawatts( MW) of critical power capacity to indigenous and global guests. These pitfalls and misgivings include, among others, the following reduced demand for data centers or diminishments in information technology spending; dropped rental rates, increased operating costs or increased vacancy rates; increased competition or available force of data center space; the felicity of our data centers and data center structure, detainments or dislocations in connectivity or vacuity of power, or failures or breaches of our physical and information security structure or services; our dependence upon significant guests, ruin or bankruptcy of a major client or a significant number of lower guests, or defaults on ornon-renewal of plats by guests; breaches of our scores or restrictions under our contracts with our guests; our incapability to successfully develop and lease new parcels and development space, and detainments or unanticipated costs in development of parcels; the impact of current global and original profitable, credit and request conditions; our incapability to retain data center space that we lease or lease from third parties; difficulty acquiring or operating parcels in foreign authorities; our failure to realize the intended benefits from, or dislocations to our plans and operations or unknown or contingent arrears related to, our recent accessions; our failure to successfully integrate and operate acquired or developed parcels or businesses; difficulties in relating parcels to acquire and completing accessions; pitfalls related to common adventure investments, including as a result of our lack of control of similar investments; pitfalls associated with using debt to fund our business conditioning, includingre-financing and interest rate pitfalls, our failure to repay debt when due, adverse changes in our credit conditions or our breach of covenants or other terms contained in our loan installations and agreements; our failure to gain necessary debt and equity backing, and our dependence on external sources of capital; fiscal request oscillations and changes in foreign currency exchange rates; adverse profitable or real estate developments in our assiduity or the assiduity sectors that we vend to, including pitfalls relating to dwindling real estate valuations and impairment charges and goodwill and Collyer Quay 42- 06 Ocean Financial Centre Singapore 049315 Tel 6565053900 other impalpable asset impairment charges; our incapability to manage our growth effectively; losses in excess of our insurance content; environmental arrears and pitfalls related to natural disasters; our incapability to misbehave with rules and regulations applicable to our company; our failure to maintain our status as a REIT for civil income duty purposes; our operating cooperation’s failure to qualify as a cooperation for civil income duty purposes; restrictions on our capability to engage in certain business conditioning; and changes in original, state, civil and transnational laws and regulations, including related to taxation, real estate and zoning laws, and increases in real property duty rates. Singapore’s connectivity to major requests in the region, strong network structure, conducive Collyer Quay 42- 06 Ocean Financial Centre Singapore 049315 Tel 6565053900 business terrain and political stability are among of the top reasons transnational and original drivers continue to seek data centre growth in the region. “ With the addition of SIN12 to our Loyang connected lot, guests will soon have new ways to connect, extend their reach and find new business openings through our global data centre platform. . William Stein. guests in both installations profit from this relationship through lesser and further cost-effective connectivity options. Digital Realty expects to pursue BCA herbage Mark instrument for the new installation, demonstrating the company’s commitment to assiduity- leading sustainable design norms and erecting upon the established track record of its award- winning Digital Jurong West( SIN10) and Digital Loyang I( SIN11) installations. The new Singapore data centre will borrow “ Secure by Design ” principles, offering its guests a largely secure position, one that's ready to meet the adding demand for dependable and secure structure. Wilson Senior Director of Marketing Asia Pacific DigitalRealtyowilson@digitalrealty.

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