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 Python is the language of deep learning. Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. 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 teaches using botorganizeded anorganizedtured data. . 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. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. 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

  • 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):
  • 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
  • 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
  • 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):
  • MangaluruCollectoratePostOffice | Location details: Capital Avenue, Raod, Bunder, Mangalore, Karnataka 575001, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • A1 Logics Address: Bejai Main Rd, Bejai, Mangaluru, Karnataka 575004 Phone: 0824 425 2005 , Website: a1logics.com/
  • AJ Institute of Engineering and Technology Address: Bangrakuloor, Kodikal, Mangaluru, Karnataka 575013 Phone: 094830 26503 Website: www.ajiet.edu.in/
  • Software Companies in Mangaluru

    1. BM SOFTTECH Address: Presidium Building, 2nd floor office no. 206 Attavar,, Mangalore, Mangaluru, Karnataka 575001 Phone: 080506 02323 , Website: www.bmsofttech.com/
    2. 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

    SEO / Digital Marketing Companies in Mangaluru

    1. Aquila SEO & Digital Marketing Address: MB Residency,Door No 3-T-75/46, Coconut Garden, Maroli, Natty House road, Mangaluru, Karnataka 575005 Phone: 097438 78000 , Website: https://www.aquilaseoindia.com/
 courses in Mangaluru
[43] In addition to these, banks have been set up in close by towns. [16][17] At the Mangalore Special Economic Zone, in a brand new 15 million tonne refinery, petrochemical plant and electricity and LNG plants, The Oil and Natural Gas Corporation(ONGC) plans to make investments over Rs. One of those modifications is the advent of guidelines for putting in Special Economic Zones (De Prabir, 2008). 33 million heaps of strategic crude oil storages at Mangalore, Padur (close to Udupi) in Karnataka and at Visakhapatnam to make sure electricity security. Cargo ships are constructed right here that have a most period of a hundred and twenty meters. 35,000 crore. s . a . [34] BSL's subsidiary, Tebma Shipyard Limited has a deliver production web website online at Malpe, that's fifty six km from Mangalore town. At the Mangalore Special Economic Zone, in a brand new 15 million tonne refinery, petrochemical plant and electricity and LNG plants, The Oil and Natural Gas Corporation(ONGC) plans to make investments over Rs.

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