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 New Orleans

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

  • Software Engineer
  • Research Analyst
  • Data Analyst
  • Data Scientist
  • Data Engine
  • Image Recognition
  • Software Developer
  • Research Scientist
  • Instructor for Deep Learning
  • Applied Scientist

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Deep Learning Internship/Course Details

Deep Learning internship jobs in New Orleans
Deep Learning Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Deep learning teaches using botorganizeded anorganizedtured data. Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in New Orleans certification training is ideal for intermediate and advanced experts. Deep learning models in the real world could be used for driverless cars, money filtration, virtual assistants, facial recognition, and other applications. Students receive practical experience by working on real-world projects. Deep learning is a type of learning that entails Specialization in New Orleans 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 algorithms are employed in a variety of industries, from automated driving to medical gadgets. This deep learning course in New Orleans is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning.

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