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 Phoenix

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

  • 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 Phoenix
Deep Learning Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications. Deep learning algorithms are employed in a variety of industries, from automated driving to medical gadgets. 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. . Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Python is the language of deep learning. Deep learning is a type of learning that entails Specialization in Phoenix 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. Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video.

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 Phoenix

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 courses in Phoenix
MAG Planning Area: The Maricopa Association of Governments defines a place that already is evolved or is anticipated to be commonly evolved through 2020. Sperling in 1976 now practice to the bulk of university college students withinside the United States. Thus, “Metropolitan Phoenix” can be used to consult county information or to a extra centered examine the evolved part of the metro vicinity. Sperling expected the confluence of technological, monetary, and demographic forces that might in a totally brief time usher in the go back of ever large numbers of person freshmen to formal better training. Because of this current addition and due to the fact that maximum of the populace of Pinal County lives scattered throughout the county at a ways from Maricopa County, Pinal County has been excluded from Metropolitan Phoenix on this analysis. Sperling`s studies satisfied him now no longer best that those underserved freshmen had been inquisitive about furthering their academic goals, but additionally that this institution differed from their extra conventional opposite numbers in sizeable approaches. This cognizance informs the University's coaching and gaining knowledge of version method to designing and imparting pupil offerings, and educational and administrative structure. These milestones marked the start of a sea of alternate in better training, aleven though many (possibly even maximum) inside that machine did now no longer understand it on the time. At that point faculties and universities had been prepared by and large round serving the desires of the 18-22 12 months-vintage undergraduate pupil. That identical 12 months noticed the advent of the primary non-public computer, the Apple I -- an occasion that signaled the start of a new monetary machine wherein highbrow capital might sooner or later supplant commercial may because the dominant monetary force.

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