Deep Learning Training by Experts


Our Training Process

Deep Learning - Syllabus, Fees & Duration


  • 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


  • Activation Functions
  • Sigmoid
  • ReLU
  • Hyperbolic Fns, Softmax Artificial Neural Networks
  • Introduction
  • Perceptron Training Rule
  • Gradient Descent Rule


  • 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


  • 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


Course Fees

Deep Learning Jobs in Hawally

Enjoy the demand

Find jobs related to Deep Learning in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri,,, etc.) based in Hawally, chennai and europe countries. You can find many jobs for freshers related to the job positions in Hawally.

  • 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 Hawally
Deep Learning 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. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Deep learning teaches using botorganizeded anorganizedtured data. 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. 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. 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. Companies like to hire people who have completed this deep learning course. Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation.

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 Hawally

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 courses in Hawally
These interactions have had and continue to have an impact on how people live their lives over time. Natural resources are primarily impacted by climate change, particularly in dry subhumid and semi-arid regions. For the benefit of present and future generations, I hope that this plan will serve as a cornerstone of the policy framework for decreasing the risks posed by climate change and continuously increasing resilience to it. In addition, internationally accepted scientific methods were used to create an index of sectors' vulnerability. which include medium- and long-term strategies to boost national adaptability to climate change and strengthen resilience to climate challenges. The NAP's implementation is not solely the responsibility of EPA. where it affects various sectors in a variety of ways and varies in severity and negative effects from location to location. A comprehensive ongoing monitoring program utilizing the necessary environmental data and information to continuously monitor climate change and evaluate its impact on Kuwait, in collaboration with all stakeholders in the areas of adaptation to climate change, including academia, the private sector, and nongovernmental organizations, is one of the anticipated outcomes. To determine the socioeconomic effects of climate change risks, a sequential hierarchy method was used. Jabal Al-Hussein, Jabal Al-Lweibdeh, Shmeisani, and Al-Madineh Al-Riyadiyah are the four neighborhoods in the district.

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