TensorFlow is an end-to-end open source platform for machine learning that enables researchers and developers to easily build and deploy ML powered applications.
In this article we are going to look at the best TensorFlow courses for learning TensorFlow on Udemy in 2020.
These best TensorFlow tutorials will teach you everything you need to get started with TensorFlow.
Here are the best TensorFlow courses to take on Udemy.
Below, I have written a brief summary of what each of these best TensorFlow tutorials is about, what you’ll learn at the end of each course and who the course is best suited for.
This TensorFlow course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning.
This is one of the best TensorFlow courses that aims to give you an easy to understand guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand.
This course is designed to balance theory and practical implementation.
If you learn TensorFlow with this course, you’ll also get jupyter notebook guides of code and easy to reference slides and notes.
We also have plenty of exercises to test your new skills along the way.
This is the best TensorFlow tutorial that lays a solid foundation to TensorFlow, a leading machine learning library from Google AI team.
You’ll see how TensorFlow can create a range of machine learning models and custom deep neural networks to transfer learning models built by big tech giants.
Along this TensorFlow tutorial you will learn how to use and reuse tensorflow effectively and apply on industry relevant problems.
Anyone who wants to study and build neural networks and deep learning should learn TensorFlow.
This is the best course for TensorFlow that teach you to build Deep Neural Networks models for different business domains with TensorFlow provided by Google AI team.
If you are wondering how to learn TensorFlow on Udemy then this course will teach you both concepts of deep learning and its applications with focus on Keras.
This is the best place to learn TensorFlow if you are interested in Machine Learning, Data Science and AI.
TensorFlow 2.0 has just been released, and it introduced many features that simplify the model development and maintenance processes.
From the educational side, it boosts people’s understanding by simplifying many complex concepts. From the industry point of view, models are much easier to understand, maintain, and develop.
This is one of the best courses for TensorFlow that is structured in a way to cover all topics from neural network modeling and training to put it in production.
By taking this best TensorFlow tutorial on Udemy, you’ll learn how to check if a dataset has any anomalies using the TensorFlow Data Validation library.
At the end this best TensorFlow 2.0 course you’ll be able to make your own data preprocessing pipeline using the TensorFlow Transform library.
Deep learning is the intersection of statistics, artificial intelligence, and data to build accurate models and TensorFlow is one of the newest and most comprehensive libraries for implementing deep learning.
With the efficiency and simplicity of TensorFlow, you will be able to process your data and gain insights that will change how you look at data.
If you want to dig your teeth deeper into the hidden layers of abstraction using raw data then this is the best TensorFlow course for you.
By taking this TensorFlow certification training you will also learn how to train your machine to craft new features to make sense of deeper layers of data.
This best selling TensorFlow course is your complete guide to practical data science using the Tensorflow framework in Python..
By taking this TensorFlow Udemy tutorial you’ll get to learn Google TensorFlow by covering all the aspects of practical data science with Tensorflow.
Learning TensorFlow and Python for storing, filtering, managing, and manipulating data can give your company a competitive edge and boost your career to the next level.
Unlike other Python courses, this TensorFlow training digs deep into the statistical modeling features of Tensorflow and gives you a one-of-a-kind grounding in Python based Tensorflow Data Science.
After taking this top rated TensorFlow tutorial, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Tensorflow.
It can be hard to get started with machine learning, particularly as new frameworks like TensorFlow start to gain traction across enterprise companies.
This TensorFlow 2.0 Udemy course begins by covering a mastery on Python with a deep focus on unlocking Python’s secrets.
You’ll then move on to understand deep learning as implemented by Python and TensorFlow.
Finally, by taking this TensorFlow course on Udemy, you’ll be able to solve common commercial machine learning problems using TensorFlow.
The goal of this Learning Path is to help you understand deep learning and machine learning by getting to know Python first and then TensorFlow.
This is one of the best TensorFlow courses on Udemy that will teach you how to code in Python, calculate linear regression, analyze credit card fraud and make a stock market prediction app.
AI is code that mimics certain tasks. You can use AI to predict trends like the stock market.
Automating tasks has exploded in popularity since TensorFlow became available to the public, and this is a great TensorFlow tutorial that will immerse you into this field.
AI like TensorFlow is great for automated tasks including facial recognition. One farmer used the machine model to pick cucumbers.
It’s been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version.
Tensorflow is the world’s most popular library for deep learning, and it’s built by Google.
It is the library of choice for many companies doing AI and machine learning. In other words, if you want to do deep learning, you gotta know Tensorflow.
In this Udemy TensorFlow course you’ll learn about all of the major deep learning architectures, such as Deep Neural Networks, Convolutional Neural Networks (image processing), and Recurrent Neural Networks (sequence data).
This TensorFlow tutorial is designed for students who want to learn fast, but there are also “in-depth” sections in case you want to dig a little deeper into the theory.
This TensorFlow for beginners course will provide you with a beginner’s guide in neural networks in tensorflow with python.
If you are a complete beginnerwith no or little experience with deep learning, neural networks and google’s tensorflow then this is the best TensorFlow Udemy tutorial for you.
By taking this TensorFlow course you’ll learn the fundamentals of self driving cars, industry 4.0, robotics… all those areas are playgrounds for neural networks.
Even though this course does not go deep into the math, you will learn step by step how to code a neural network in tensorflow.
At the end of this top rated TensorFlow course you will have created, trained and tested a complete neural network.
The single biggest benefit TensorFlow provides for machine learning development is abstraction.
Instead of dealing with the nitty-gritty details of implementing algorithms, you can focus on the overall logic of your application.
It also gains many advantages from the backing of an A-list commercial outfit in Google.
So why not get started learning this amazing technology today by taking the best TensorFlow course on Udemy?
Google has created many significant offerings around TensorFlow that make it easier to deploy and easier to use.
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