TensorFlow I Deep Learning I Python Course
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.
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The topics are organized in proper sequence to enable the candidate understand them easily.
Easy to understand and implement in real life.
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Final certification exam conducted under surveillance of trained human proctor.
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