Deep Learning Training/Course 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 Hamad Town

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

  • 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 Hamad Town
Deep Learning Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Hamad Town certification training is ideal for intermediate and advanced experts. 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 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. 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. This deep learning course in Hamad Town is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine Learning. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Deep learning is a type of learning that entails Specialization in Hamad Town 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.

List of All Courses & Internship by TechnoMaster

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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 Hamad Town

  • Batelco | Location details: Road 307، Building 413، Block 1203، Hamad Town, Bahrain | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: batelco.com | Contact Number (Helpline): +973 3961 1196
  • BahrainLogoDesign | Location details: Villa 3471, Road 555, Block 1205، Hamad Town, Bahrain | Classification: Marketing agency, Marketing agency | Visit Online: logodesign.business.site | Contact Number (Helpline): +973 3777 9523
  • ComputerCity | Location details: Hamad Town, market, Bahrain | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline): +973 3409 0708
  • Al-ShalanComputerWorkshop-ورشةالشعلانللكمبيوتر | Location details: Road No 433, Block 1204, Shop 2137A, Roundabout 3, Hamad Town, Bahrain | Classification: Computer repair service, Computer repair service | Visit Online: shalancomp.com | Contact Number (Helpline): +973 3941 1478
 courses in Hamad Town
2 1 Introduction One of the demanding situations that faces the Kingdom of Bahrain, is land control due to the upward push withinside the populace. 12 km2 . GIS changed into capable of spotlight the modifications which have passed off between 1989 and 2006. By the Year 2005 the populace of the city changed into 52718. 2. The housing percent changed into small. It aimed additionally to provide land use maps and to calculate the location of every land use class and its importance and function in shaping the person of the city. The generated land use maps display the city making plans improvement of the city, as nicely as, the land use classes, which encompass: • Housing • Roads and delivery • Recreational facilities • Religious buildings • Commercial • Educational offerings • Infrastructure and authorities buildings • Health offerings • Historical Area four Analysis The proposed land makes use of withinside the look at location encompass all land use kinds normally found inside a city plan. By the usage of Arc GIS the look at described the making plans version and the making plans improvement over one and a 1/2 of decades. This map has been edited through the usage of (Microstation) software program to separate the land use classes into specific layers.

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