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 Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. 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. . 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. This deep learning course in Mangaluru is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Python is the language of deep learning. Students receive practical experience by working on real-world projects. 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.

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

  • 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
  • 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
  • MangaluruCollectoratePostOffice | Location details: Capital Avenue, Raod, Bunder, Mangalore, Karnataka 575001, 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
  • 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):
  • 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
  • KannurPostOffice(mangaluru) | Location details: Padil, Kannur, Mangalore, Karnataka 575007, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • Blueline Computers Address: 3rd Floor Brahma Samaja building Near Navabharath Circle, Mangaluru, Karnataka 575003 Phone: 099001 44664 , Website: http://www.bluelinecomputers.com/
  • Yenepoya Institute Of Technology Address: N.H.13, Thodar, Vidyanagar, Moodabidri, Mangalore, Karnataka 574225 Phone: 082582 62733 , Website: yit.edu.in/
  • Diya Systems (Mangalore) Pvt. Ltd Address: Near Kings Park Layout, Maryhill, Mangaluru, Karnataka 575015 Phone: 0824 248 5307 , Website: www.diya.net/
  • Mangalore Infotech Solutions Pvt. Ltd. Address: Ground Floor, Albuquerque Chambers, Pandeshwar, Mangaluru, Karnataka 575001 Phone: 0824 242 3240 , Website: mangaloreinfotech.in/careers/
 courses in Mangaluru
(KIOCL), Hindustan Petroleum Corporation Limited (HPCL), Bharat Petroleum Corporation Plant (BPCL), JBF Petrochemicals[10] and Total Oil are the principal petrochemicals and processing industries in Mangalore. a . The Mangalore Stock Exchange (MgSE) become included on 31 July 1984 as a public restrained agency. [85] Old Mangalore Port is the fishing port in Mangalore. [64][65] Foreigners can input Mangalore via the New Mangalore Port with the assist of Electronic visa (e-visa). 33 million heaps of strategic crude oil storages at Mangalore, Padur (close to Udupi) in Karnataka and at Visakhapatnam to make sure electricity security. The principal high-quality function of financial improvement is recognized to be the better financial increase rate, signaling expanded cutting-edge demand. 35,000 crore. s . 33 million heaps of strategic crude oil storages at Mangalore, Padur (close to Udupi) in Karnataka and at Visakhapatnam to make sure electricity security.

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