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 Al Farwaniyah

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 Al Farwaniyah, chennai and europe countries. You can find many jobs for freshers related to the job positions in Al Farwaniyah.

  • 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 Al Farwaniyah
Deep Learning Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. Deep learning teaches using botorganizeded anorganizedtured data. 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 a subset of machine learning (ML), which is essentially a three-layer neural network. This deep learning course in Al Farwaniyah is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. 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 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. 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.

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 Al Farwaniyah

  • TahaniIndianKuwaitDrivingSchool | Location details: 79 St, Al Farwaniyah 85000, Kuwait | Classification: Driving school, Driving school | Visit Online: | Contact Number (Helpline): +965 6045 9582
  • WorldAccessITSolutionsCo.-ERPSolutions | Location details: 7XH6+5PG, Al Farwaniyah, Kuwait | Classification: Software company, Software company | Visit Online: worldaccesskw.com | Contact Number (Helpline): +965 9798 4636
  • SAKSolutions | Location details: Habeeb Munawer St, Al Farwaniyah 26548, Kuwait | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +965 2477 3052
  • INDIANDRIVING:SCHOOLINKUWAIT | Location details: Al Farwaniyah, Kuwait | Classification: Driving school, Driving school | Visit Online: drivingclasskw.com | Contact Number (Helpline): +965 9899 9479
  • SMAGITSolutions | Location details: Al Jeri Commercial Complex, Ali Fahad Al Dewailah St, Al Farwaniyah, Kuwait | Classification: Software company, Software company | Visit Online: | Contact Number (Helpline): +965 9916 3297
  • QS-QualitySystemsKuwait | Location details: Ali Fahad Al Dewailah St, Al Farwaniyah, Kuwait | Classification: Business management consultant, Business management consultant | Visit Online: qssite.com | Contact Number (Helpline): +965 555 52144
 courses in Al Farwaniyah
The dense city center is connected to the outlying suburbs by a series of six circular ring roads. These rights include access to social welfare, favorable employment, and the right to vote. In all of its plans, policies, and strategies, the Kuwaiti government strives to constantly improve and modernize its educational systems because it recognizes the significance of education. Iran and Kuwait are at odds over their maritime border since the 1960s. Kuwait and Saudi Arabia also had a dispute regarding the territory, but it was resolved in July 2000. However, the distribution of Kuwaiti citizenship has become a contentious issue due to the welfare benefits and political rights it confers. In the 1950s, Kuwait established city zones for public buildings, businesses, housing, and public areas. Iraqi troops sabotaged or burned oil wells during the Gulf War, resulting in oil lakes and slicks covering the desert. Reluctantly, the government has recently attempted to resolve the issue. To address environmental effects on economic and social development and to implement a plan for remedial measures, the EPA developed a national strategy.

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