I know the options out there, and what skills are needed for learners.
Whether you’re an expert or a beginner, TensorFlow makes it easy develop and train ML models.
As a beginner, you may be looking for a way to get a solid understanding of TensorFlow that’s not only rigorous and practical, but also concise and fast. So without further ado, let's get started.
This piece is originally published and will be updated here >> Best TensorFlow Courses.
Also, Mathematics and Algorithms are very important for TensorFlow. So if you need a refresher or want to learn the basics, I've got you covered in this piece about the Mathematics for Machine Learning and Data Science and Algorithms for Data Science and Machine Learning.
Below, I’ve curated a selection of the best TensorFlow for beginners and experts who aspire to expand their minds.
In this course, you will receive a broad introduction to TensforFlow learning for Artificial Intellegence, Machine Learning, and Deep Learning.
Upon the completion of this course, you will have a deeper understanding of how neural networks work and will equipped to build and apply scalable models to solve real-world problems with TensorFlow.
In this, course, you’ll learn use TensorFlow and create a range of machine learning and deep learning models, from simple linear regression to complex deep neural networks.
Upon the successful completion of this course, you will be equipped to take an approach to effective problem solving and interacting with the results of your work with your peers.
In this course, you’ll be provided with a TensorFlow model to scale out the training of that model and learn the key concepts for offering high-performance predictions using Cloud Machine Learning Engine.
Upon the completion of this course, you will be able well equipped to create machine learning models and Build Neural Network in TensorFlow.
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