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 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 Students receive practical experience by working on real-world projects. Companies like to hire people who have completed this deep learning course. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own. Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation. Deep learning is important because it automates feature generation, works well with unstructured data, has improved self-learning capabilities, supports parallel and distributed algorithms, is cost-effective, has advanced analytics, and is scalable. Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Mangaluru certification training is ideal for intermediate and advanced experts. 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. This deep learning course in Mangaluru is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep 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 Mangaluru

  • MangaluruCollectoratePostOffice | Location details: Capital Avenue, Raod, Bunder, Mangalore, Karnataka 575001, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • 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):
  • 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
  • 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):
  • 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
  • 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
  • KannurPostOffice(mangaluru) | Location details: Padil, Kannur, Mangalore, Karnataka 575007, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • 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
  • 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
  • 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
  • KomQuest Solutions Address: # 214, 2nd Floor, Shalimar Mangalore Gate, Kankanady Bypass Rd, Kankanady, Mangaluru, Karnataka 575002 Phone: 0824 426 0718 , Website: komquest.com/
  • 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/
  • Winman Software India Address: Kudmul Ranga Rao Road, PVS Centenary Building, Boloor, Kodailbail, Mangaluru, Karnataka 575003 Phone: 097410 01100 , Website: https://www.winmansoftware.com/careers/
 courses in Mangaluru
35,000 crore. [2][3][4][5] Mangalore is the second biggest commercial enterprise centre in Karnataka. [86] The town has an ice manufacturing unit on the banks of Netravati river and fish meal processing industries Various cruise ships consisting of Regent Seven Seas, Norwegian Star, Oceania, Celebrity, Costa, AIDA, Nautica and Royal Caribbean International have visited the New Mangalore Port. 33 million heaps of strategic crude oil storages at Mangalore, Padur (close to Udupi) in Karnataka and at Visakhapatnam to make sure electricity security. This brought about further modifications restrictive in phrases of rules and reservations. [19][20][21] Mitsui, a Japanese conglomerate has deliberate to installation an LNG terminal in Mangalore. The agency become granted reputation as a inventory change on September 9, 1985. India has emerged as one of the quickest developing economies withinside the world, particularly in production and services. Seeds of the modern-day SEZ version in India may be traced returned to 1965 whilst Asia`s first Export Processing Zone become installation at Kandla, Gujarat. [33] Mangalore is the sixth shipyard set up via way of means of BSL.

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