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TensorFlow I Deep Learning I Python Course

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TensorFlow I Deep Learning I Python Course

TensorFlow I Deep Learning I Python Course

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Brainmeasures TensorFlow deep learning with Python video course is a comprehensive course for candidates who want to begin and master TensorFlow and deep learning, and python is one the most used programming language which is understood easily and its application is also effortless.

To understand the framework of this course, it’s important to understand

What is TensorFlow?

What is Deep learning?

What are Neural Networks?

What is Python?

TensorFlow

Machine Learning is complex but implementing a machine learning model is far less daunting because of the availability of Machine learning frameworks such as Google’s TensorFlow as it eases the process of acquiring data, training models, solving predictions, and refining future results.

TensorFlow is an open-source library created by the Google Brain team used for computation and large-scale machine learning.

TensorFlow bundle together with deep learning and machine learning models improve search engines, translation, image captioning, and recommendations.

Deep Learning

Have you ever wondered how Google translates an entire webpage to a different language in seconds to a different language or sorts phone gallery images based on location, all this is done by deep learning.

Deep learning is a subset of machine learning which further is a subset of artificial intelligence.

Artificial Intelligence is a model that mimics human behavior.

Machine learning is a model that mimics and tracks algorithms and outputs.

Ideally, deep learning is a type of Machine Learning inspired by the structure of the human brain and in technical terms, it is called artificial Neural Networks.

How Deep Learning is different from Machine Learning?

One basic difference between Deep Learning and Machine Learning is when using machine learning we need to provide data, for eg, if we want the machine to differentiate between cherries and Tomato, we need to provide data like the size and shape of the stem.

Deep learning does the same with help of neural networks but we need a higher volume of data to train the machine to perform the task.

Neural Networks

An input, an output, and a flow of sequential data in a deep network. Neural networks are widely used in supervised learning and reinforcement learning problems. These networks are based on a set of layers connected to each other. In deep learning, the number of hidden layers, mostly non-linear, can be large; say about 1000 layers.

For eg, if three people write digit 3 on paper, though the handwriting of each is the different human brain can identify it as number 3 but what about computers, neural networks are trained handwritten digit, each image is divided into 28X28 pixels, in total 784 pixels.

The neuron is a core element of neural networks.

You will get all the information when you enroll for Brainmeasures Deep learning TensorFlow with Python video course.

Python

Python is the fastest-growing programing language used by developers, various applications, in Machine Learning, Artificial Intelligence, python has got everything covered and third most popular programing language.

Brainmeasures TensorFlow Deep learning with Python Video Course

Brainmeasures is an integrated online learning, skill testing, employee training platform in business since 2007.

Brainmeasures courses are developed by professionals who have years of experience, each course is curated as a one-source platform to learn the given skill, each Brainmeasures course culminates in a proctored exam, and when candidates pass the exam, they are awarded a skill certificate which is recognized globally.

These certificates will lift your resume and will give you an edge over competitors and open up a multitude of job opportunities, Brainmeasures certified professionals work for reputed companies like Sapient, Google, Twitter, SAP, Capgemini, Addeco, to name a few.

This 15-hour high-quality video course covers the following topics

Machine learning

Basics of Neural Networks

TensorFlow Basics

Conditional Neural Networks

Auto Encoders

Reinforcement learning with Open AI

Generative Adversarial Networks

And much more.

Eligibility Criteria for enrolment

Brainmeasures courses are developed keeping in mind that people with little to no knowledge of the subject can enroll for the course and can learn and practically implement their learning.

Knowledge of Python programming is required.

Jobs

Machine learning and Artificial Intelligence are penetrating each sector and with each passing year industries and organizations are getting more dependent on these technologies, this has led to the huge demand for professionals who have the required skill sets like TensorFlow, deep learning, knowledge of Neural Networks.

Certified professionals have great job opportunities in this field and work in reputed companies like Tesla, Google, Instagram, Snapchat, Apple, etc.

Salary

In general, the range in salary in Deep Learning and TensorFlow Professional can be between $55,750 anywhere up to around $96,250 for an experienced Deep Learning engineer. The typical starting salary is normally between $43,750 and $60,500 with an average salary of $60,000 per year.

Related Courses

Brainmeasures offers a huge range of skill courses, create your own combo, and Up-Skill.

Artificial Intelligence Course

Python Programming Course

Machine Learning Course

TensorFlow and Kensas Course

Neural Networks Course

Deep Learning Course

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Course Syllabus

Getting Started 11 lectures 17 mins
Introduction Preview 01:42
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Welcome guide document 10 Pages
Some title goes here 07:42
2 Some title goes here 07:42
Hello Some title goes here 07:42
This is Some title goes here 07:42

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What makes TensorFlow I Deep Learning I Python Course unique?

VIDEO ONLINE COURSE

The video online course is well-structured and comprehensive.

EASY TO UNDERSTAND

The topics are organized in proper sequence to enable the candidate understand them easily.

SELF-EXPLANATORY

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Sufficient pictures, tables, graphs have been provided to make this online Course more attractive to the readers.

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    • Final exam is proctored – you will be monitored throughout, this is done using our high-end Proctor software, so that you need not go to any special location but take it from your own PC.
    • This testing format matches world-class testing standards.
    • Certificate will mention wording proctored to prove the authenticity of your knowledge.
    • You can take any number of retakes if you are not satisfied with your score or failed to pass.
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