TensorFlow Image Recognition Bootcamp 2017-12-27T02:57:55+00:00

Project Description

TensorFlow Image Recognition

TENSORFLOW IMAGE RECOGNITION

Machine Learning, TensorFlow, Data Flow, Neural Networks

TensorFlow Image Recognition

 

About TensorFlow Image Recognition Bootcamp:-

This course explores, with specific examples, the application of Tensor Flow to the purposes of image recognition Audience This course is intended for engineers seeking to utilize TensorFlow for the purposes of Image Recognition After completing this course, delegates will be able to: understand TensorFlow’s structure and deployment mechanisms carry out installation/production environment/architecture tasks and configuration assess code quality, perform debugging, monitoring implement advanced production like training models, building graphs and logging sources.This course explores, with specific examples, the application of Tensor Flow to the purposes of image recognition Audience

This course is intended for engineers seeking to utilize TensorFlow for the purposes of Image Recognition After completing this course, delegates will be able to: understand TensorFlow’s structure and deployment mechanisms carry out installation/production environment/architecture tasks and configuration assess code quality, perform debugging, monitoring implement advanced production like training models, building graphs and logging sources.

TRAINING METHODOLOGY

In Class: $4,999
Locations: NEW YORK CITY, D.C, BAY AREA.
Next Session: 15th Dec 2017

Online: $2,499
Next Session: 15th Dec 2017

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TensorFlow Image Recognition Bootcamp

DESCRIPTION

tensorflow image recognition

About Tensorflow Image Recognition Bootcamp:-

This course explores, with specific examples, the application of Tensor Flow to the purposes of image recognition

PREREQUISITES

Deep learning is not an entry-level subject. In order to get the most out of the course, students should be familiar with the following:

Basic statistics

Basic linear algebra (matrix multiplication, transposing matrices)

Basic calculus (derivatives, summations)

Programming: Python preferred, but those comfortable with another language should be able to learn the material

There will be a pre-course workshop to refresh students on the requisite linear algebra and calculus techniques. Students with familiarity with NumPy will find it easier to pick up the material, but necessary components will be taught along with the rest of the course. Course materials will be hosted on GitHub, so knowledge of the bash console, Git, and the GitHub platform are beneficial, but not required.

Audience

This course is intended for engineers seeking to utilize TensorFlow for the purposes of Image Recognition

After completing this course, delegates will be able to:

  • understand TensorFlow’s structure and deployment mechanisms
  • carry out installation/production environment/architecture tasks and configuration
  • assess code quality, perform debugging, monitoring
  • implement advanced production like training models, building graphs and logging.

The Tensorflow Image Recognition Average Salary Is Est.: $1,50,000 – $2,00,000

CURRICULUM

Lecture1.1 NN and RNN

Lecture1.2 Backpropagation

Lecture1.3 Long short-term memory (LSTM)

Lecture2.1 Creation, Initializing, Saving, and Restoring TensorFlow variables

Lecture2.2 Feeding, Reading, and Preloading TensorFlow Data

Lecture2.3 How to use TensorFlow infrastructure to train models at scale

Lecture2.4 Visualizing and Evaluating models with TensorBoard

Lecture3.1 1.Tutorial Files

Lecture3.2 2.Prepare the Data

Lecture3.3 Download

Lecture3.4 Inputs and Placeholders

Lecture3.5 3.CIFAR-10 Model

Lecture4.1 Inference

Lecture4.2 Loss

Lecture4.3 Training

Lecture5.1 The Graph

Lecture5.2 The Session

Lecture5.3 Train Loop

Lecture6.1 Build the Eval Graph

Lecture6.2 Eval Output

Lecture6.3 Advanced Serving Tutorial

Lecture7.1 Threading and Queues

Lecture8.1 Writing Documentation and Sharing your Model

Lecture8.2 Customizing Data Readers

Lecture8.3 Using GPUs¹

Lecture8.4 Manipulating TensorFlow Model Files

Lecture9.1 Introduction

Lecture9.2 Basic Serving Tutorial

Lecture9.3 Serving Inception Model Tutorial

Lecture10.1 1.Overview

Lecture10.2 Goals

Lecture10.3 Highlights of the Tutorial

Lecture10.4 Model Architecture

Lecture10.5 2.Code Organization

Lecture10.6 3.CIFAR-10 Model

Lecture10.7 Model Inputs

Lecture10.8 Model Prediction

Lecture10.9 4.Launching and Training the Model

Online: $2,499
Next Batch: starts from 15th Dec 2017

In Class: $4,999
Locations: New York City, D.C., Bay Area
Next Batch: starts from 15th Dec 2017

COURSE HIGHLIGHTS

Skill level: Intermediate
Language: English
Certificate: No
Assessments: Self
Prerequisites: Basic Python programming

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FAQ'S

Advanced Course like TENSORFLOW IMAGE RECOGNITION BOOTCAMP duration largely depends on trainee requirements, it is always recommended to consult one of our advisors for specific course duration.

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

If you have any queries you can contact our 24/7 dedicated support to raise a ticket. We provide you email support and solution to your queries. If the query is not resolved by email we can arrange for a one-on-one session with our trainers.

You will work on real world projects wherein you can apply your knowledge and skills that you acquired through our training. We have multiple projects that thoroughly test your skills and knowledge of various aspect and components making you perfectly industry-ready.

Our Trainers 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.

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

The TENSORFLOW IMAGE RECOGNITION BOOTCAMP by BigdataGuys will not only increase your CV potential but will offer you a global exposure with enormous growth potential.

REVIEWS

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Lab Exercises95
Projects95.5
Trainer Quality89
Promptness89.5

COMMENTS

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INSTRUCTORS

John Doe
Learning Scientist & Master Trainer 
John Doe has been a professional educator
for the past 20 years. He’s taught, tutored,
and coached over 1000 students, and he
holds degrees in Physics and Literature
from Northwestern University. He has
spent the last 4 years studying how
people learn to code and develop applications.

Lamar George
Learning Scientist & Master Trainer 
He has been a professional educator for
the past 20 years. He’s taught, tutored,
and coached over 1000 students, and
he holds degrees in Physics and Literature
from Northwestern University. He has
spentthe last 4 years studying how
people learn to code and develop applications.

Summary
Training | Workshops | Paid Consulting | Bootcamps
Service Type
Training | Workshops | Paid Consulting | Bootcamps
Provider Name
BigDataGuys,
1250 Connecticut Ave, Suite 200,Washington, D.C,20036,
Telephone No.202-897-1944
Area
NYC | D.C | Toronto | Bay Area | Online
Description
This workshop offers TensorFlow Image Recognition | TUTORIALS | COURSES | Instructor led boot camps | Email [email protected]

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