Deep Learning Computer Vision Training 2017-12-27T02:57:54+00:00

Project Description

Deep Learning Computer Vision Training

Deep Learning Computer Vision Training

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Deep Learning Computer Vision Training

Deep Learning Computer Vision Training

This instructor-led Bootcamp will provide you the hands-on knowledge you need to develop deep learning computer vision applications. This course is suitable for Deep Learning researchers and engineers interested in utilizing available tools (mostly open source ) for analyzing computer images or vision. Neural networks This course provides working examples and lab exercises.

TRAINING METHODOLOGY

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

Online: $2499
Next Session:On Demand

Home / All courses / Advance Deep learning / Deep Learning Computer Vision Training

Deep Learning Computer Vision Training

Instructor: John Doe, Lamar George

DESCRIPTION

Deep Learning Computer Vision Training

Deep Learning Computer Vision Training

How to get started?

Neural networks and machine learning

Start with the basics of machine learning and neural networks. Before you realize, you’ll be CNN expert in a short amount of time and be able to propel to the advanced stage.

Convolution Neural networks: Explore what CNN’s are, why we use them and how to implement the powerful computer vision algorithms for Visual Recognition.

Train large-scale neural networks

Unlock the techniques the deep learning experts use to train popular architectures such as Alexnet, VGGNet, and SqueezeNet from scratch on the challenging imagine dataset.

Object detection and localization
Learn how to annotate your own dataset and train the custom object detectors using specialized deep learning techniques
Hands-on Exercises:

To represent solutions to actual, real-world image classification problems, challenges, and competitions. Demonstrate the algorithms behind deep learning for computer vision, but their implementations as well.

Who is this for?

Are you a data scientist looking to apply deep learning + computer vision algorithms to your research.
Utilize computer vision algorithms in your own projects but have yet to try deep learning.
Used deep learning in projects before, but never in the context of visual recognition and image understanding.
Are you a computer vision developer
Are you a machine learning enthusiast who knows how to program and wants to understand what is “Deep learning” all about

The average salary for Deep Learning vision Est.: $100,000 – $130,000 a year

CURRICULUM

Lecture1.1 When Deep Learning is suitable
Lecture1.2 Limits of Deep Learning
Lecture1.3 Comparing accuracy and cost of different methods

Lecture2.1 Nets and Layers
Lecture2.2 Forward / Backward: the essential computations of layered compositional models.
Lecture2.3 Loss: the task to be learned is defined by the loss.
Lecture2.4 Solver: the solver coordinates model optimization.
Lecture2.5 Layer Catalogue: the layer is the fundamental unit of modeling and computation
Lecture2.6 Convolution

Lecture3.1 Backprop, modular models
Lecture3.2 Logsum module
Lecture3.3 RBF Net
Lecture3.4 MAP/MLE loss
Lecture3.5 Parameter Space Transforms
Lecture3.6 Convolutional Module
Lecture3.7 Gradient-Based Learning
Lecture3.8 Energy for inference,
Lecture3.9 Objective for learning
Lecture3.10 PCA; NLL:
Lecture3.11 Latent Variable Models
Lecture3.12 Probabilistic LVM
Lecture3.13 Loss Function
Lecture3.14 Detection with Fast R-CNN
Lecture3.15 Sequences with LSTMs and Vision + Language with LRCN
Lecture3.16 Pixelwise prediction with FCNs

Lecture4.1 Caffe
Lecture4.2 Tensorflow
Lecture4.3 R
Lecture4.4 Matlab

Deep Learning Computer Vision – Lecture5.1 Overview
Deep Learning Computer Vision – Lecture5.2 What is used for?
Deep Learning Computer Vision – Lecture5.3 Graphs and Tensors
Deep Learning Computer Vision – Lecture5.4 Basics of Building graphs in TensorFlow
Deep Learning Computer Vision – Lecture5.5 Neural Networks in Tesnsorflow
Deep Learning Computer Vision – Lecture5.6 Tensor board visualization tool
Deep Learning Computer Vision – Lecture5.7 Lab exercises (Fibonacci sequence, Linear regression, and recognition of hand-written digits (MNIST Database)

Deep Learning Computer Vision – Lecture6.1 Convolutional Neural networks (CNNs)
Deep Learning Computer Vision – Lecture6.2 Convolutional neural network exploration (MNIST demo)
Deep Learning Computer Vision – Lecture6.3 Open source CNN Models
Deep Learning Computer Vision – Lecture6.4 Writing CNN model (TF-Slim and Keras)
Deep Learning Computer Vision – Lecture6.5 Lab exercises including CNN model for MNIST, Transfer learning for object recognition, object recognition from Video)

Online: $2499
Next Batch: On Demand

In Class: $4,999
Locations: New York City, D.C., Bay Area
Next Batch: starts On Demand

COURSE HIGHLIGHTS

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

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FAQ'S

Advanced Course like Deep Learning Computer Vision Training 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 Deep Learning Computer Vision Training 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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95.6 / 100 Reviewer
{{ reviewsOverall }} / 100 (0 votes) Users
Lab Exercises96.5
Projects97
Trainer Quality92.5
Promptness96.5

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 Deep Learning Computer Vision | PROGRAMS | TUTORIALS | COURSES | Instructor led boot camps | Email [email protected]

Project Details

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Live Training Instructor-led
In-Class Bootcamps in NYC | D.C | Bay Area & Metro Cities
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