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 Mangaluru

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

  • 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 Mangaluru
Deep Learning Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. . Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Students receive practical experience by working on real-world projects. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. 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 is a type of learning that entails Specialization in Mangaluru 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. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data.

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 Mangaluru

  • MangalagangothriPostOffice | Location details: Mangaluru University Campus, Konaje, Mangalore, Karnataka 574199, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 824 228 7282
  • ThumbePostOffice | Location details: Thumbe Post office, Kodiadka, Mangaluru Bangalore Highway, Thumbe, Tq, Bantwal, Karnataka 574143, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • BalmattaPostOffice | Location details: Anche Bhavan, Near Mangaluru Nursing Home, Balmatta, Mangalore, Karnataka 575002, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 824 221 8861
  • KarnadPostOffice | Location details: Poonja Buildings, Near SBI, Karnad, Mulki, Mangaluru, Karnataka 574154, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 824 229 0528
  • BejaiPostOffice | Location details: Opp. Mescom Mangaluru, Bejai - Kuntikana Road Near Bharath Mall/KSRTC, Mangalore, Karnataka 575004, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 824 221 1798
  • MulkiBazarPostOffice | Location details: Punaroor Building, First floor, Mulki, Mangaluru, Karnataka 574154, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • KannurPostOffice(mangaluru) | Location details: Padil, Kannur, Mangalore, Karnataka 575007, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • SomeshwaraUchilaPostOffice | Location details: Near Jeethesh Steels Beach Road, Sankolige, Mangaluru, Karnataka 575023, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 824 228 0265
  • MangaluruHeadPostOffice | Location details: Rosario Church Rd, Pandeshwar, Mangalore, Karnataka 575001, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 824 244 1651
  • MangaluruCollectoratePostOffice | Location details: Capital Avenue, Raod, Bunder, Mangalore, Karnataka 575001, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • Idaksh Technologies- Web design company in Mangalore Address: V.S.S Bank Building, Main Road Bajpe, Bajpe, Mangaluru, Karnataka 574142 Phone: 098806 06087 , Website: www.idaksh.in/
  • Evol Technologies - Website Design Mangalore Address: 3rd Floor, Rameshwar Arcade, Kuloor Ferry Road, Kottara, Kulur Ferry Road, Urwa, Mangaluru, Karnataka 575006 Phone: 0824 425 3865 , Website: www.evoltechnologies.com/
  • Diya Systems (Mangalore) Pvt. Ltd Address: Near Kings Park Layout, Maryhill, Mangaluru, Karnataka 575015 Phone: 0824 248 5307 , Website: www.diya.net/
  • Saraghsoft Technologies Pvt Ltd Address: Near Indira Hospital, Lulu Center, 2nd Floor, Falnir Road, Mangalore, Mangaluru, Karnataka 575002 Phone: 0824 426 5710 , Website: www.saraghsoft.com/careers/
  • Red Eye Solutions Address: 1st Floor, Gousiya Complex, Opposite Service Bus Stand, Surathkal, Mangalore, Surathkal, Mangalore, Karnataka 575014 Phone: 0824 656 2390 , Website: https://www.redeye.com/careers
 courses in Mangaluru
33 million heaps of strategic crude oil storages at Mangalore, Padur (close to Udupi) in Karnataka and at Visakhapatnam to make sure electricity security. [47] It become de-recognized via way of means of the Securities and Exchange Board of India (SEBI) on 31 August 2004. [15] BASF has set up a Research and improvement (R&D) centre at Mangalore. [66] Cruise ships from Europe, North America and UAE arrive at New Mangalore Port to sell tourism round MangaloreBharati Shipyard Ltd (BSL) (now called Bharati Defence and Infrastructure Limited) has set up its deliver constructing web website online close to Tannirbavi in Mangalore. The agency become granted reputation as a inventory change on September 9, 1985. a . [6] Around 75% of India's coffee, wooden and cashew nuts exports are treated via way of means of the New Mangalore Port. [7] Mangalore is one some of the handiest five towns withinside the u . The principal high-quality function of financial improvement is recognized to be the better financial increase rate, signaling expanded cutting-edge demand. [69][70] The startups goal at offering answers in agriculture, health, schooling and data technology.

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