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TensorFlow Training

  • (4.0)
  • 981 Ratings
  • Duration : 30 Hrs
  • Learners : 1006

  • Lab Sessions : 20
  • Certification : Guaranteed
About Mindmajix
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MindMajix TensorFlow Training helps you in learning with tensors, install TensorFlow, simple statistics and plotting, architecture and Integration of TensorFlow with different open-source frameworks. You will hands-on sessions on a computation using data flow graphs, Loading And Exploring The Data, Visualizing Traffic Sign Statistics, R Interface to TensorFlow, Feature Extraction and Modeling the Neural Network...etc.

TensorFlow Training Details
Track Regular Track Weekend Track Fast Track
Course Duration 30 Hrs 8 Weekends 15 Days
Hours 1hr/day 2 Hours a day 2 Hours a day
Training Mode Online Classroom Online Classroom Online Classroom
  • 30 hours of Instructor Led TensorFlow Training
  • Lifetime Access to Recorded Sessions
  • Practical Approach
  • 24/7 Support
  • Expert & Certified Trainers
  • Real World use cases and Scenarios

Trusted By Companies Worldwide

Modes of Training

Self Paced

Self Paced Video Learning

  • Access to High Quality pre-recorded TensorFlow Training videos (from a previous live training)
  • LMS access
  • Access to Self-paced TensorFlow Training material designed by Experts.
Instructor

Instructor Led Live Training

  • Live Online training by Certified & industry expert Trainers
  • On Demand Dedicated Cloud lab and LMS access
  • 24x7 teaching assistance and support
  • Fast-track / Regular / Weekend Batches
corporate

Corporate Training

  • Self-Paced e-learning and/or instructor-led Live online training options
  • Learning Management System access
  • Enhanced reporting for individuals and teams
  • 24x7 Support

In tensorflow online course, you’ll develop a clear understanding of the motivation for deep learning, and design intelligent systems that learn from complex and/or large-scale datasets. We’ll show you how to train and optimize basic neural networks, convolutional neural networks, and long short term memory networks.

You will learn to solve new classes of problems that were once thought prohibitively challenging, and come to better appreciate the complex nature of human intelligence as you solve these same problems effortlessly using deep learning methods.

Tensorflow is being used by most of the world’s top multinationals. Tensorflow professionals are earning very high salaries when compared with other technologies. With high demand and a number of job opportunities in this field, people who have taken a first course in machine learning, or at least familiar with supervised learning methods will get benefited from this course.

An in-depth knowledge on TensorFlow project which focuses on all the critical components of TensorFlow will be provided by our trainer. As a result, you can increase your visibility and efficiency and draw real connections between different components of TensorFlow. You will also get the complete material covering all the aspects of this project.

The pacing of a course refers to how course teams run the course, and how learners can interact with the course material. Many courses are instructor- paced: they follow a schedule that the instructor sets, with assignments and exams that have specific due dates. In contrast, self-paced courses contain assignments without due dates. You can progress through the course at your own speed.

Instructor-Led Course

Instructor-paced courses follow a set schedule. The course team sets specific due dates for assignments and exams, and you complete the course within a defined time period, such as eight or twelve weeks.
Course materials become available at specific times as the course progresses. Assignments have due dates, and exams have start and end dates. In the course outline on the course page, indicators show when you have a graded assignment, as well as the due date for the assignment.

In most instructor-paced courses, certificates are generated within two weeks of the end of the course.

Self-Paced Course

Self-paced courses do not follow a set schedule. Course materials are completely available as soon as the course begins. Assignments and exams do not have start or due dates. The course shows indicators for graded assignments, but not due dates. You can complete assignments and exams at your own pace, as long as you complete all course work before the course ends.

In most self-paced courses, the course team generates certificates on a schedule, such as once a month. The certificate generation schedule varies by course.

Deep Learning: A revolution in Artificial Intelligence
Limitations of Machine Learning
Discuss the idea behind Deep Learning
Advantage of Deep Learning over Machine learning
3 Reasons to go Deep
Real-Life use cases of Deep Learning
Scenarios where Deep Learning is applicable

The Math behind Machine Learning: Linear Algebra

Scalars
Vectors
Matrices
Tensors
Hyperplanes

The Math Behind Machine Learning: Statistics

Probability
Conditional Probabilities
Posterior Probability
Distributions
Samples vs Population
Resampling Methods
Selection Bias
Likelihood

Review of Machine Learning Algorithms

Regression
Classification
Clustering

Reinforcement Learning
Underfitting and Overfitting
Optimization
Convex Optimization

Defining Neural Networks
The Biological Neuron
The Perceptron
Multi-Layer Feed-Forward Networks
Training Neural Networks
Backpropagation Learning
Gradient Descent
Stochastic Gradient Descent
Quasi-Newton Optimization Methods
Generative vs Discriminative Models

Activation Functions

Linear
Sigmoid
Tanh
Hard Tanh
Softmax
Rectified Linear

Loss Functions
Loss Function Notation
Loss Functions for Regression
Loss Functions for Classification
Loss Functions for Reconstruction
Hyperparameters
Learning Rate
Regularization
Momentum
Sparsity

Defining Deep Learning
Defining Deep Networks
Common Architectural Principals of Deep Networks
Reinforcement Learning application in Deep Networks
Parameters
Layers
Activation Functions – Sigmoid, Tanh, ReLU
Loss Functions
Optimization Algorithms
Hyperparameters
Summary

What is TensorFlow?
Use of TensorFlow in Deep Learning
Working of TensorFlow
How to install Tensorflow
HelloWorld with TensorFlow
Running a Machine learning algorithms on TensorFlow

Introduction to CNNs
CNNs Application
Architecture of a CNN
Convolution and Pooling layers in a CNN
Understanding and Visualizing a CNN
Transfer Learning and Fine-tuning Convolutional Neural Networks

Introduction to RNN Model
Application use cases of RNN
Modelling sequences
Training RNNs with Backpropagation
Long Short-Term memory (LSTM)
Recursive Neural Tensor Network Theory
Recurrent Neural Network Model

Restricted Boltzmann Machine
Applications of RBM
Collaborative Filtering with RBM
Introduction to Autoencoders
Autoencoders applications
Understanding Autoencoders
Variational Autoencoders
Deep Belief Network

Mindmajix offers advanced TensorFlow interview questions and answers along with TensorFlow  resume samples. Take a free sample practice test before appearing in the certification to improve your chances of scoring high.

Our trainers have relevant experience in implementing real-time solutions on different queries related to different topics. Mindmajix verifies their technical background and expertise.

We record each LIVE class session you undergo through and we will share the recordings of each session/class.

Trainer will provide the Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course.

If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within 48 hours of initial registration. Please make a note that refunds will be processed within 30 days of prior request.

The Training itself is Real-time Project Oriented.

Yes. All the training sessions are LIVE Online Streaming using either through WebEx or GoToMeeting, thus promoting one-on-one trainer student Interaction.

There are some Group discounts available if the participants are more than 2.

As we are one of the leading providers of Live Instructor LED training, We have customers from USA, UK, Canada, Australia, UAE, Qatar, NZ, Singapore, Malaysia, India and other parts of the world. We are located in USA. Offering Online Training in Cities like

New York, New jersey, Dallas, Seattle, Baltimore, Houston, Minneapolis, Los Angeles, San Francisco, San Jose, San Diego, Washington DC, Chicago, Philadelphia, St. Louis, Edison, Jacksonville, Towson, Salt Lake City, Davidson, Murfreesboro, Atlanta, Alexandria, Sunnyvale, Santa clara, Carlsbad, San Marcos, Franklin, Tacoma, California, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Hyderabad, Bangalore, Pune, Mumbai, Delhi, Dubbai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland etc…

Yes. You as a learner enjoy the fullest benefits of converting from Self-Paced training to Instructor-Led training at any point of time during the course.

The Mindmajix Sellf-Paced Training is for candidates who enjoy learning at their own pace. Our Self-Paced program is comprised of :

  • Provision to one-on-one sessions,
  • 24/7 Live Support,
  • Time-to-time doubt clearance,

All these features come as a benefit for the trainees attempting the training.

At Mindmajix, we avail Self-Paced Training and Online Instructor-Led Training provided by Industry experienced professionals. Along with them, we specialize in Corporate Training, particularly designed for business organizations. Our elaborately designed Demo Sessions make your vision clear for the subject and motivate you to opt the newer technologies in the industry.

Mindmajix guarantees that the educational experience you gain will deliver value even after you complete the course with its course completion certificate. This will undoubtedly be one of the valuable certifications for your career path and your first step in building a career in this course. You can earn this after successful completion of your project work and can get your CV noticed. It also shows you are motivated to learn and that you have genuine expertise.

4.0
981 Ratings
5 Star
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4 Star
50%
3 Star
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2 Star
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1 Star
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  • S

    Instructor possesses good command on the topics. Takes measures to make sure student is understanding the concepts.
  • K

    I had gone through the tensorflow course. As a working professional, it was a good experience for me to undergo the training.

Mindmajix Advantages

  • Expert Instructors
  • Practical Implementation
  • Real- time Case Studies
  • Lifetime Access thru LMS
  • Job Readiness
  • Resume Building