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 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 jobs in Bahrain

Deep Learning Internship/Course Details

Deep Learning Deep learning is a subset of machine learning (ML), which is essentially a three-layer neural network. Python is the language of 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. Students receive practical experience by working on real-world projects. 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. This deep learning course in Bahrain is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. 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. . Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data.

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
RIFFA gives conversation and synchronization capabilities with a popular interface for each software program and hardware. On the FPGA, the PCIe Endpoint offerings those requests with the aid of using translating them to Processor Local Bus (PLB) requests thru deal with translation. The framework calls for a PCIe bus enabled computer and a FPGA with a PCIe peripheral. . The are related thru a PCIe bus connection. FPGA layout is with the aid of using and huge accomplished the usage of hardware layout gear much like ones that might be used to create a custom ASIC. The CUDA and OpenCL languages, and their corresponding device chains, have enabled close to seamless integration into maximum famous software program programming environments. The relaxation of the paper is prepared as follows. However, our purpose is a reusable integration framework that is bendy sufficient for use in lots of designs. Furthermore, it makes use of an Ethernet connection which limits the bandwidth among the host laptop and the FPGA.

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