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 powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation. Deep learning teaches using botorganizeded anorganizedtured data. 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. . Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning. 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 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. Python is the language of deep learning. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights.

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
  • 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
  • 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
  • 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
  • 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):
  • 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):
  • MangaluruCollectoratePostOffice | Location details: Capital Avenue, Raod, Bunder, Mangalore, Karnataka 575001, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • Red Eye SMS Address: 1st Floor Kerala samajam Complex, K.S Rao Road, Mangalore, Mangalore, Mangaluru, Karnataka 575001 Phone: 090604 02010 , Website: www.vidteq.com/Mangalore/Red-Eye-SMS/Story
  • Diya Systems (Mangalore) Pvt. Ltd Address: Near Kings Park Layout, Maryhill, Mangaluru, Karnataka 575015 Phone: 0824 248 5307 , Website: www.diya.net/
  • Incede Technologies Address: Boloor Marigudi Rd, Ashok Nagar, Mangaluru, Karnataka 575006 Phone: 099015 43843 , Website: incedetechnologies.com/
  • 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
  • Mangalore Digital Marketing Address: Shop no:1 Samaja Bhavan Complex, Mannagudda, Mangaluru, Karnataka 575003 Phone: 098449 19728 , Website: www.chillipages.com/
 courses in Mangaluru
Industries Development and Regulation Act (IDRA) in 1951 laid the rules however saved the licensing necessities stringent, requiring multi-degree clearances via way of means of some of agencies. It is the handiest town in Karnataka to have all modes of transport — Air, Road, Rail and Sea. [1] The quickest developing non metro (Indian town of population much less than 1 million) in South India is Mangalore. MRPL, the handiest refinery withinside the state, will quickly get a Navaratna Status. a . s . [34] BSL's subsidiary, Tebma Shipyard Limited has a deliver production web website online at Malpe, that's fifty six km from Mangalore town. [2][3][4][5] Mangalore is the second biggest commercial enterprise centre in Karnataka. [72][73] Government of Karnataka has deliberate to make Mangalore an Animation hub for the State ish is one of the extensively fed on meals in Mangalore. 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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