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 Bahrain

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

  • 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 Bahrain
Deep Learning This deep learning course in Bahrain is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. One of the key benefits of employing deep learning is its capacity to perform feature engineering on its own. Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. 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 Bahrain certification training is ideal for intermediate and advanced experts. 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. Deep learning powers a variety of AI (artificial intelligence) services and applications that automate and perform physical operations without the need for human participation. Companies like to hire people who have completed this deep learning course.

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 Bahrain

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 courses in Bahrain
Unfortunately, this generation is supported simplest on a small set of SOC Intel processors. RIFFA ARCHITECTURE RIFFA is a C software program library and Linux tool motive force, at the computer side, and set of IP cores at the FPGA side. It is made from Verilog and VHDL IP cores, C software program libraries, and a Linux tool motive force, all of which we intend to open supply. Software Interface On the software program end, we evolved a PCIe Linux tool motive force and a fixed of software program libraries. In order to allow get entry to outdoor of the kernel, the driving force creates a digital tool record withinside the dev filesystem. In contrast, the GPU discipline has visible extensive improvement in the direction of accelerating software program programs the usage of GPUs. Furthermore, it makes use of an Ethernet connection which limits the bandwidth among the host laptop and the FPGA. This digital tool record can then be opened, examine from, written to, or reminiscence mapped with the aid of using any utility in person area. A. We describe in element the RIFFA structure in Section II.

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