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 Colorado Springs

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

  • 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 Colorado Springs
Deep Learning Every day, businesses collect massive volumes of data and analyze it to get actionable business insights. Rather than being numerical, the majority of the data is in an unstructured format, such as audio, image, text, and video. Deep learning has become increasingly significant for commercial decision-making since it is very adept at processing such forms of data. Students receive practical experience by working on real-world projects. Python is the language of deep learning. Artificial neural network systems are created on the human brain in deep learning, a subcategory of Machine 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. 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.

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 Colorado Springs

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 courses in Colorado Springs
By August 1, 2016, all District colleges would require and make certain that college personnel rent more than a few corrective measures earlier than referring a scholar to disciplinary government except it is able to be documented that the protection of college students and/or personnel is threatened or the conduct in query is such that the disruption to the academic surroundings can most effective be remedied via way of means of any such referral. (a) By May 31, 2016, the District will designate an worker to function the District`s Discipline Supervisor, and could post this individual`s call, and/or title, workplace deal with, email deal with and cellphone variety on its website, in all college courses concerning subject, and in any notices that the District sends to dad and mom annually. In addition, the District commenced enforcing education on Positive Behavioral Interventions and Supports (“PBIS”) in numerous colleges. (c) By August 1, 2016, the District will, in session with the Discipline Supervisor and/or professional(s), begin the method of analyzing the foundation motive(s) of the racial disparity withinside the subject of college students withinside the District via way of means of analyzing pertinent literature to be had at the subject, securing professional enter and attractive college students, personnel and individuals of the network with a purpose to discover and take each on the spot and long-time period suitable corrective movements vital to deal with the foundation motive(s) as part of the District`s techniques for assembly its dreams, as defined in object 1(b). REPORTING REQUIREMENTS: (d) By May 31, 2016, the District will offer OCR the call and qualifications of the individual(s) detailed as Discipline Supervisor and the worker who will deal with proceedings acquired approximately subject and implementation of the notice requirement of object 1(a). If OCR has any objections to the plan submitted via way of means of the District for evaluation, OCR will notify the District of its objections promptly, no later than 60 days after receiving the draft plan. (b) Throughout its implementation of this Agreement, the District will seek advice from with and, as vital, hold an professional or professionals in non-discriminatory subject practices, in addition to records evaluation and research-primarily based totally techniques, to prevent discrimination towards African American and Hispanic college students with admire to college subject. (e) By September 1, 2016, September 1, 2017, and September 1, 2018, the District will offer documentation to OCR concerning its implementation of the notice necessities of object 1(a), and documentation concerning its implementation of 1(b), and (c), such as the identification of the professional(s) it has consulted with and/or retained, the enter acquired via way of means of the professional(s), any similarly deliberate examinations and/or determinations regarding the foundation motive(s) of the racial disparity withinside the subject of college students, and the ensuing modifications made via way of means of the District. The District has additionally entered right into a partnership with The Learner First, an academic offerings organization that makes a speciality of entire gadget change, such as root motive evaluation. The District has dedicated to making sure equitable subject on the idea of race as validated via way of means of Pillar #2 of the District`s signature techniques, entitled “secure weather and robust relationships with households and network,” that's to be performed via way of means of championing “equity, equity and cultural inclusiveness.

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