10 Best TensorFlow Courses Onine

10 Best TensorFlow Courses Onine
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Introduction:

If you have an interest in Data Science, Machine Learning, Deep Learning, or Artificial Intelligence, you must have heard about the TensorFlow. TensorFlow is Google’s Machine Learning API. This API had been utilized to develop the RankBrain Algorithm for Google Search. 

TensorFlow is one of the most famous Machine Learning APIs, which helps in automating the real-world tasks. For instance, the TensorFlow can be used as object detection, image detection, and much more. 

TensorFlow was used by a farmer-turned-programmer young person for the detection of the excellent quality of cucumber. The best cucumber could only be inspected and checked by his parents with their valuable experience. TensorFlow can do the same! This is the power of TensorFlow studies. 

Following are some of the top courses on the TensorFlow that will help you in learning the TensorFlow from basics:

 

  1. Complete Guide to TensorFlow for Deep Learning with Python – Udemy

 

This is one of the most significant courses that impart your utilization of Google’s Deep Learning Framework. You will be able to solve the problems with cutting-edge techniques. Every little detail is available in the course. 

Best Features of the Course:

  • In this course, you will understand how neural networks work and the classification and the regression task for TensorFlow. 
  • You will be taught to build your neural networks with Python from the beginning. 
  • After the completion of this course, you will be able to solve the unsupervised learning problems with encoders and create adversarial networks with TensorFlow. 

Instructors of the Course:

 

  • Jose Portilla:

 

Jose Michael Portilla has a BS and MS degree in Mechanical Engineering from Santa Clara University. He boasts a great many years of experience in the Data Science and Programming as a Trainer and Professional Instructor. 

 

Course Details
Course Duration: 14 Hours 
No. of Students Enrolled: 79, 518 Students
Price of the Course: $12.99
Levels of Course: Intermediate Level
Website: Visit Us

 

  1. Machine Learning (Best Course on TensorFlow) – Coursera 

Machine learning is the study in which students learn to control the computer without explicit programming. Self-Driving Cars, Effective Web Search, Practical Speech Recognition, increased understanding of the human genome, etc. are the blessings of the Machine Learning field. Machine Learning is the perfect path toward human-level AI (Artificial Intelligence). 

Best Features of the Course:

  • In this course, you will be given a comprehensive introduction to the Machine Learning Data-Mining, Statistical Pattern Recognition, Logistic Regression, and Creation of the Artificial Neural Network. 
  • You will be able to understand the basics of Machine Learning (ML) Algorithms. 
  • You will have practical knowledge of machine learning, and its implementation. 

Instructor of the Course

 

  • Andrew Ng:

 

He is the founder of the Landing AI (Artificial Intelligence) and co-founder of the Coursera. He is also an adjunct professor at Stanford University. He is a chief scientist at the Baidu and the mind behind the lead of the Google Brain. 

Course Details
Course Duration: 4 Weeks (25 Hours) Hours 
No. of Students Enrolled: 3, 346, 893 Students
Price of the Course: $12.99
Levels of Course: Intermediate Level
Website: Visit Us

 

  1. TensorFlow: Getting Started – PluralSight

Pluralsight has offered this practical course so that you can know what can be achieved with the TensorFlow – the Advanced Machine Library of Google.  It is the most suitable for the programmers or beginners who have just started the TensorFlow. 

Best Features of the Course:

  • In this basic course, you will be able to learn the installation and the usage of the TensorFlow. 
  • The course is aimed at the creation of a range of machine learning models – from simple linear regression to the complex linear regression. 
  • You will be able to learn the creation of the Credit Card Fraud Detection Model in Python but also the development of an app that utilizes the data to the stock market. 

Instructors of the Course:

 

  • Jerry Kurata

 

Jerry Kurata is the instructor of the course, who is a Solutions Architect at the InStep Technologies. 

Course Details
Course Duration: 02 Hours, 38 Minutes
No. of Students Enrolled: 3, 346, 893 Students
Price of the Course: $19 (On Monthly Basis)
Levels of Course: Beginner Level
Website: Visit Us

 

  1. Tensors in TensorFlow: Master Class – SkillShare Course

This is a master class regarding the basics of the TensorFlow. You learn and master the fundamental aspects of the TensorFlow in this class. It is important for beginner students, who have just started learning machine learning and Artificial Intelligence. 

Best Features of the Course:

  • This is a basic master class that aims at taking you on a journey wherein you will different aspects of the TensorFlow. 
  • The instructor shares the personal insightful experiences with you. 
  • You are trained to complete projects in this course, which increase your understanding of the TensorFlow. 

Instructor of the Course

 

  • Vinay Phadnis

 

He is a Freelancer Programmer, who has contributed to the numerous open-source projects online. 

Course Details
Course Duration: 42 Minutes
No. of Students Enrolled: 184 Students
Price of the Course: $15 (On Monthly Basis)
Levels of Course: Beginner Level
Website: Visit Us

 

  1. Deep Learning with TensorFlow – EDx Course

Most of the data in our world are unstructured such as sound, images, and textual data. With deep learning and Tensorflow, you will be able to apply your skills for the solution of real-world problems. 

Best Features of the Course:

  • In this EDx course, you will be able to explore the foundational TensorFlow concepts such as execution pipelines, main functions, and operations. 
  • You will also learn to describe the curve fitting, minimization, classification, regression of error functions. 
  • You will be imparted knowledge regarding the Convolutional Networks, Recurrent Networks, and Auto-encoders. 

Instructor of the Course

 

  • Saeed Agha Bozorgi

 

He has a Ph.D., who is a senior Data Scientist at IBM. 

Course Details
Course Duration: 05 Weeks
No. of Students Enrolled: 35, 100 Students
Price of the Course: $15 (On Monthly Basis)
Levels of Course: Available for Free
Website: Visit Us

 

  1. Accelerating TensorFlow with the Google Machine Learning Engine – SkillShare Course

This is another excellent course on LinkedIn for learning the TensorFlow. The instructor discusses the TensorFlow in detail in this course. He takes the course slowly and then proceeds towards covering the high-level features. 

Best Features of the Course:

  • You are given a comprehensive introduction to the basic tensor operations. 
  • The instructor covers complicated topics such as sessions, variables, training, and graphs. 
  • Difficult topics such as estimators, iterators, and datasets are also discussed and taught in this class. 

Instructors of the Course:

 

  • Matt Scarpino

 

He is the Software Developer, who specializes in high-speed software development. Presently, Mathew works at the Plutocracy.com. 

Course Details
Course Duration: 42 Minutes
No. of Students Enrolled: 184 Students
Price of the Course: $15 (On Monthly Basis)
Levels of Course: Beginner Level
Website: Visit Us

 

  1. Introduction to Machine Learning with TensorFlow

This course is stitched around the fundamental principles of Machine Learning with TensorFlow. This program has been specifically designed for the Python students who had not undertaken the machine learning course. 

Best Features of the Course

  • In this nano-degree program, you will be able to learn foundational machine learning algorithms. 
  • You will be learning techniques such as data cleaning and supervised models. 
  • Unsupervised and unstructured learning will be imparted to you with practical experience. 

Instructor of the Course:

 

  • LUI Serrano – AI Engineer at Apple

 

Previously, Lui has worked as an ML Engineer at Google. He has a Ph.D. from the University of Michigan and boasts a Postdoctoral Fellowship at the University of Quebec at Montreal. 

 

 

  • Josh Bernhard – Data Scientist at Nerd Wallet

 

Josh is presently a lead data science instructor at Galvanize. He has great experience in the field, from cancer research or process automation. 

 

 

  • Jay Alammar – Instructor

 

Jay is learned in Computer Science. He likes to visualize computer science concepts.

 

 

  • Mat Leonard – Researcher

 

Mat Leonard has worked in the capacity of a physicist, data scientist, and research neuroscientist. He acquired his Ph.D. and his postdoctoral fellowship from the University of California. 

 

 

  • Dan Romuald Mbanga – Instructor

 

Dan is currently leading Amazon’s AI Business Development Efforts for Machine Learning Services. 

 

 

  • Jennifer Staab – Instructor

 

Jennifer has a Ph.D. in Computer Science and a Masters in Biostatistics. Jennifer had also been a Professor at the Florida Polytechnic University.

 

  • Michael Virgo – Senior Curriculum Manager Udacity

At first, he was a business student. Then, his love for the in technical courses grew and he grew to become the Self-Driving Car Engineer at Udacity. Currently, he works on curriculum development for varied AI and autonomous systems programs.

 

 

  • Sean Carrel – Instructor

 

Sean has previously been a research mathematician who has great expertise in the Algebraic Combinatorics. He has achieved his Ph.D. and Postdoctoral Fellowship from the University of Waterloo in Canada. 

 

 

  • Andrew Paster – Instructors

 

He has acquired an engineering degree from Yale, and he also has utilized the data science skills for building jewelry business from the ground. 

 

 

  • Juan Delgado – Content Developer

 

Juan is presently the content developer for the course, who has a master’s degree in Astronomy. 

 

  1. TensorFlow for Beginners  – Udemy

This is a complete guide for building deep learning solutions and machine learning using the TensorFlow. This course will teach you the basics of the TensorFlow. It has been designed for the beginners who aspire to learn the TensorFlow. 

Best Features of the Course:

  • In this course, you will learn the TensorFlow from the Groundup. 
  • You will be able to learn the ML Lifecycle and the TensorBoard. 
  • You will be taught to build real-life AI (Artificial Intelligence) and ML (Machine Learning) with the TensorFlow. 

Instructor of the Course:

 

  • Euodonix Learning Solutions

 

Eudonix is an organization that creates and distributes high-quality for training the content. Eudonox has created the course for benefitting the beginners. 

 

Course Details
Course Duration: 04 Hours
No. of Students Enrolled: 537 Students
Price of the Course: $12.99 (On Monthly Basis)
Levels of Course: Beginner Level
Website: Visit Us

 

  1. TensorFlow 2.0: Deep Learning and Artificial Intelligence – Coursera 

TensorFlow is the Library of Google for Artificial Intelligence and Machine Learning. The course covers the practical and conceptual framework of the TensorFlow nicely. The course is structured in a manner that it will be easy for you to learn the TensorFlow. 

Best Features of the Course:

  • In this course, you will learn the formation of Artificial Neural Networks (ANN) and Deep Neural Networks (DNN). 
  • Students will be given practical knowledge wherein they will be taught to build a Deep Reinforcement learning Stock Trading Bot. 
  • Students will be able to gain various TensorFlow skills such as computer vision, image recognition, prediction of stock returns, etc. 

Instructor of the Course

 

  • Lazy Programmer Inc. 

 

Laxy Programmer Inc. has organized and arranged the course, which has expertise in machine learning and artificial intelligence. 

Course Details
Course Duration: 04 Hours
No. of Students Enrolled: 537 Students
Price of the Course: $15 (On Monthly Basis)
Levels of Course: Beginner Level
Website: Visit Us

 

  1. Intro to TensorFlow for Deep Learning – Coursera

It is a beginner-level compact course that imparts the practical approach to the deep learning students. In this course, you will be given the hand-on experience, wherein you will be able to complete the practical state-of-the-art image or similar projects. 

Best Features of the Course:

 

  • In this course, you will be able to learn the foundational concepts around the TensorFlow. In the comprehensive introductive chapter, you will be able to get a high-level introduction of deep learning and machine learning. 
  • You will be taught to build a neural network that will be recognizing the images of articles of the clothing. 
  • You will also be imparted to utilize the convolutional networks for building the more efficient models for Fashion MINST. 

 

Instructor of the Course

 

  • TensorFlow Team

 

This course has been prepared and organized by the TensorFlow team. 

 

  • Magnus Hyttsten

 

He is a Developer Advocate at Google. 

 

  • Juan Delgado

 

He is the Content Developer at Udacity. 

 

  • Paige Bailey

 

She is a Developer Advocate at Google. 

Course Details
Course Duration: 02 Months
No. of Students Enrolled: 537 Students
Price of the Course: Free Course (Available to Everyone)
Levels of Course: Intermediate Level
Website: Visit Us

 

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