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 Ang Mo Kio

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

  • 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 Ang Mo Kio
Deep Learning Participants in the deep learning course should have a thorough understanding of the principles of programming, as well as a solid understanding of the fundamentals of statistics and mathematics, as well as a clear grip on the critical knowledge portions of machine learning. Python is the language of deep learning. 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. . Students receive practical experience by working on real-world projects. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Deep learning is a type of learning that entails Specialization in Ang Mo Kio 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. Companies like to hire people who have completed this deep learning course. Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications. Deep learning teaches using botorganizeded anorganizedtured 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 Ang Mo Kio

  • ITECollegeCentral | Location details: 2 Ang Mo Kio Dr, Singapore 567720 | Classification: Vocational college, Vocational college | Visit Online: ite.edu.sg | Contact Number (Helpline): +65 1800 222 2111
  • SingaporeInstituteOfTechnology(SIT@NYP) | Location details: 172 Ang Mo Kio Ave 8, Singapore 567739 | Classification: University, University | Visit Online: singaporetech.edu.sg | Contact Number (Helpline): +65 6592 1189
  • NanyangPolytechnic | Location details: 180 Ang Mo Kio Ave 8, Singapore 569830 | Classification: Polytechnic college, Polytechnic college | Visit Online: nyp.edu.sg | Contact Number (Helpline): +65 6451 5115
  • ITECollegeCentral | Location details: 2 Ang Mo Kio Dr, Singapore 567720 | Classification: Vocational college, Vocational college | Visit Online: ite.edu.sg | Contact Number (Helpline): +65 1800 222 2111
  • ITECollegeCentral | Location details: 2 Ang Mo Kio Dr, Singapore 567720 | Classification: Vocational college, Vocational college | Visit Online: ite.edu.sg | Contact Number (Helpline): +65 1800 222 2111
 courses in Ang Mo Kio
The “ Kallang River was finagled into a concrete conduit to efficiently convey storm water from the fleetly citifying satellite municipalities of Bishan and Ang Mo Kio in the 1960s. Marymount Road bisects the demesne. Formerly a British colony, Singapore came part of Malaysia in 1963, and also came completely independent in 1965. Throughout the first decades of independence, Singapore set up a sophisticated drainage system to move water as snappily as possible down from development and into the ocean through a vast network of concrete conduits and rainspouts. Atelier Dreiseitl, CH2M HILL, DesignInc of Australia, and Phrase Dispatches were commissioned to complete the Central Catchment Master Plan( Rinaldi, 2013). As water demand has increased, Singapore developed new styles for bolstering its water force. 6). 22). While there are numerous interesting aspects of the redesign of Bishan Ang Mo Kio Park, completed in March 2012, this paper focuses on the use of natural processes and accoutrements to give flood tide control, corrosion control, water sanctification, and water filtration, and the community’s commerce and engagement with the demesne. still, Singapore has not yet been suitable to capture a sufficient quantum of rainwater to meet its water demand when coupled with its other domestic water sources( Dreiseitl, 2007).

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