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Deep Learning with TensorFlow Training

Learners: 70   |   Duration: 50 Hrs   |   Reviews 9 ( 4.7 )

Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. Some representations are loosely based on interpretation of information processing and communication. Tensorflow is an open-source software library for dataflow programming across a range of tasks. It is a symbolic math library, and also used for machine learning applications such as neural networks.


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Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, semi-supervised or unsupervised. Some representations are loosely based on interpretation of information processing and communication. Tensorflow is an open-source software library for dataflow programming across a range of tasks. It is a symbolic math library, and also used for machine learning applications such as neural networks.

What you will learn in Deep Learning with TensorFlow Training?

  • Installing Tensorflow
  • Simple computation
  • Logistic Regression Model Building
  • Deep Neural Networks
  • Convolution Neutral Networks
  • Recurrent Neural Networks
  • Understand intuitively convolutional neural networks for image recognition
  • Bootstrap a neural network from simple to more accurate models
  • See how to use Tensorflow with other types of networks
  • Program networks with SciKit-Flow, a high-level interface to Tensorflow

Who should take Deep Learning with TensorFlow course?

  • Deep learning professionals
  • Networking Engineers
  • IT Analysts
  • Highly qualified Professionals
  • Testing Engineers

What are the prerequisites for taking Deep Learning with TensorFlow Course?

This course focuses more on the practical usage of Tensorflow in deep learning projects, therefore you can benefit more from the course if you already have basic understanding of neural networks: feed-forward, convent, LSTM, sequence to sequence model.

Why should you go for the Deep Learning with Tensorflow Training Course?

This course will teach you the magic of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good results.It will learn how to build and train a neural network that recognises handwritten digits.


Salary as per Market

DEEP LEARNING WITH TENSORFLOW Engineers avarage salary is $91, 422 PA.
HelloWorld with TensorFlow
Linear Regression
Nonlinear Regression
Logistic Regression
Activation Functions
CNN History
Understanding CNNs
CNN Application
Intro to RNN Model
Long Short-Term memory (LSTM)
Recursive Neural Tensor Network Theory
Recurrent Neural Network Model
Applications of Unsupervised Learning
Restricted Boltzmann Machine
Collaborative Filtering with RBM
Introduction to Autoencoders and Applications
Autoencoders
Deep Belief Network

Our trainers are Highly experienced in implementing real-time solutions on different Scenarios and Expert in their professionals.

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

Trainer will Provide Detailed installation of required software through LMS to the students we support by providing Training and practical in real time experience with all utilities required for completely understanding of this Training.

Yes, there are some group discount are available only if group contain more than 2 Or more participates.

Basic Hard ware requirement is useful to install the Oracle SQL

We provide Training in a Real Time Projects Oriented

Yes we will Schedule a Demo Session as per the student convenient by sharing LIVE Online Streaming access either through GoToMeeting or WebEx.

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If you are enrolled in classes and you have paid fees, but want to cancel the registration for certain reason, it can be done within 48 hours of initial registration. Please make a note that refunds will be processed within 15 days of prior request

As we are one of the Best Online Training Provider we have customer throughout the world wide specially from UK, USA, UAE, Australia, Qatar, Singapore, New Zealand, India, Malaysia, Dubai, Doha, Melbourne, Brisbane, Perth, Wellington, Auckland Middle East Countries and other parts of the world

We are also located in USA Offering Online Training in Cities like New York, New jersey, Dallas, Seattle, Baltimore, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Raleigh, Nashville, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, 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.

In Indian we have customer from Bangalore, Mysore, Hyderabad (Ameerpet), Visage, Chennai, Kolkata, Pune, Mumbai, Delhi, Jaipur, Ahmadabad, Kerala etc…

You can clarify your queries by dialing +91 - 82 9696 0414, +1 (646) 586 - 2969 Or you can send a mail to info@gologica.com. We are ready to clear your enquiries at any time

At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in Deep Learning with TensorFlow technology.

You will get certified in Deep Learning with TensorFlow by clearing the online examination with a minimum score of 70%.

To help you prepare for a certification exam, we shall provide you a simulation exam and a practice exam

 

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Reviews


Sourya

Very high quality materials and video with interesting subject matter. I was looking more for a course introducing working with TensorFlow. Thanks to Gologica.


Sanju

This is a very hard course but this is also a very hard subject matter. It is amazing to see this course geared towards creative applications. Very well produced course. Probably one of the best on online.


Dana

This course is really great to learn TensorFlow and manipulate advanced net architectures. The explanations are great and the code provided for the assignments is just outstanding and is definitively valuable after the course. Really thanks to them.


Vignesh

The first session has been superb. The approach the instructor is taking is really good. Excited for the remaining sessions


Vidhyuth

The course verified an incomprehensible proportion of ground in an unfathomably short time. Regardless, the progressions from point to topic were reliable, as each subject develops the previous one...


Cooper

Gologica has helped me turned out to be both expertly and really. The course structure is unimaginably vital and focused on practicals which helped me score high in confirmation program of TensorFlow.So props to Gologica for putting such a course.


Rashard

I could get a reasonable picture about the course and coach was clearing every single questions which I was getting.Sessions were definite arranged. Each and everything was clarified in detail with models.


Tom D

Just completed this course multi day earlier and have no terrible things to state about it. I recently encountered the demos and all accounts for explanation before obliging ,it entranced me. So consequently I enrolled and finished this course.


Karlous

Was endorsed by partner to this course me and group ,we’re doing stretch out on latest Deep Learning with TensorFlow and is best concerning that. Satisfied and got the hang of everything required and executing my endeavor work at present.


Upcoming Demo’s

24
Wednesday
April, 2019
25
Thursday
April, 2019
26
Friday
April, 2019
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Saturday
April, 2019

Course Duration - 50 hrs

Hours - 1hr/day

Training Mode - Online

Course Duration - 13 weekends

Hours - 2hr/Day

Training Mode - Online

Course Duration - 25 Days

Hours - 2hr/Day

Training Mode - Online