Deep Learning Training by Experts

;

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 Canberra

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

  • 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 Canberra
Deep Learning Companies like to hire people who have completed this deep learning course. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data. Python is the language of deep learning. Because there is a strong demand for skilled deep learning engineers in various fields, this deep learning course in Canberra certification training is ideal for intermediate and advanced experts. 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. This deep learning course in Canberra is mainly recommended for software engineers, data scientists, data analysts, and statisticians who are interested in deep learning. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Students receive practical experience by working on real-world projects. 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. 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.

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 Canberra

  • TheAustralianNationalUniversity | Location details: Canberra ACT 2601, Australia | Classification: University, University | Visit Online: anu.edu.au | Contact Number (Helpline): +61 2 6125 5111
  • UniversityOfCanberra | Location details: 11 Kirinari St, Bruce ACT 2617, Australia | Classification: Public university, Public university | Visit Online: canberra.edu.au | Contact Number (Helpline): +61 2 6201 5111
  • HannahTuition,YishunSembawangCanberra | Location details: 156 Yishun Street 11, Singapore 760156 | Classification: Education center, Education center | Visit Online: hannahtuition.com | Contact Number (Helpline): +65 8288 8792
  • AlphaInstituteCanberraCampus | Location details: Unit 7/17 Oatley Ct, Belconnen ACT 2617, Australia | Classification: Vocational college, Vocational college | Visit Online: alphainstitute.edu.au | Contact Number (Helpline): +61 2 5134 2966
  • HannahTuition,YishunSembawangCanberra | Location details: 156 Yishun Street 11, Singapore 760156 | Classification: Education center, Education center | Visit Online: hannahtuition.com | Contact Number (Helpline): +65 8288 8792
 courses in Canberra
So the great view of the city - the lake named after him, Commonwealth and King's Avenue bridges flanking Parliament, the wide red Anzac parade, the monumental buildings - is very much a Walter picture. . . l 2 _, Walter Burley Griffin , American architect who designed the master plan for the capital of A u. ;:"" • , _ - - -·ArchivesACT Research Guide Governor-General Lord Denman lays the foundation stone of Capital Hill in a historic ceremony on 12 March 1913. The turning point must have been the magnificent artificial Central Lake, reflecting the blue mountains Mt Ainslie, Red Hill, Black Mountain, Mt Nice and monumental government buildings Burley Griffin pictures "rise of levels". R. . Walter Burley Griffin, a 37-year-old Chicago landscape architect and disciple of American architect Frank Lloyd Wright, submitted the winning design out of 137 entries for a modest $3,500 British prize money and some Australians. too small to merit their professional attention.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer