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Below you will find the best tensorflow courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best tensorflow course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
Level
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Certificate
Hours
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In this course, you will get to understand what makes deep learning work. No longer will you see it as a black box. After this course, students will understand what drives good performance of a deep learning model and be able to work on neural networks using initialization, L2 regularization, batch normalization, and so forth. During this all, TensorFlow will be used and taught to the student. More information
An incredible Python course provided via Udemy, here the student will learn all about not only Python, but also NumPy, Seaborn, Pandas, Plotly, Machine Learning, Tensorflow, and much more. If you are looking for a course that has a much broader approach to the Python programming language, with a focus on Data Science and Machine Learning, this is one of the best tutorials you will find.
For intermediate students, TensorFlow with Python is important for most IT projects. That is why taking up this course today will put you one step ahead of the game. Be able to solve problems with unique and effective techniques at the end of this course.
Apply Deep Learning with TensorFlow to typically unstructured data (images, sound, and text) in order to resolve real-world problems. You
The Google Cloud for ML with TensorFlow, Big Data with Managed Hadoop
Computer Vision and Data Science and Machine Learning combined! In Theano and TensorFlow
Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concept More information
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Learn the Theory and How to implement state of the art Deep Natural Language Processing models in Tensorflow and Python
If you want to get started in TensorFlow this is a course for you. You will learn all the basics that you need to become good at machine learning models. Starting from simple linear regressions all the way to complex deep nerual networks this course teaches it all. You will master TensorFlow in no time with this course.
You will learn all the basics of deep learning, what it can do for you and how to get started with it. It is a sort of artificial intelligence that allows machines to learn an solve complex task without being explicitly ordered to do it. You will be using tools like TensorFlow and Microsoft Cognitive Toolkit.
TensorFlow is an open source data flow library for numerical computations using data flow graphs. This course is starting from the basics and goes all the ways to the little tips and tricks that will help you get better at it. You will start with learning how to use linear regressions as an example and focus on understanding fundamental concepts in TensorFlow. Then later you will learn how to apply all of this to machine learning.
If you want to learn how to build deep learning algorithms for scratch then this is a course for you. You will learn deep learning by leveraging machine learning and TensorFlow in Python in this course.
If you want to learn more about advanced games artificial intelligence (AI) then this is a course for you. You will learn all you need to know to create genetic algorithms, neural networks, and Q-learning in C# and Tensorflow for Unity.
If you have some background and want to learn more about deep learning then this is a course for you. You will learn about advanced computer vision and convolutional neural networks in Tensorflow, Keras, and Python.
Coursera offers a great course that will teach you all about TensorFlow and you will work your way through the necessary concepts and APIs. This will enable you to write distributed machine learning models. After this course, you will know how to create machine learning models in TensorFlow.
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Google Tensorflow ile Python Dilinde Makine ogrenimi, Yapay Sinir Aglar? ve Deep Learning Programlar? Gelistirin
Almost every aspect of modern business is incorporated into AI. This course will teach you how to use this new aspect of AI to your advantage. You will learn how to utilize DL and ML and give your company an advantage. The course has 3 parts. The first part is all about DL and ML. The second part is focused on NN, CNN and RNN systems, while the third part is about TensorFlow Playground projects.
Meistere Machine Learning und kreiere eigene Neural Networks mit Python und TensorFlow um Probleme zu losen.
This course will help the data scientist or engineer with a great ML model, built in TensorFlow, deploy that model to production locally or on the three major cloud platforms; Azure, AWS, or the GCP. Deploying and hosting your trained TensorFlow model locally or on your cloud platform of choice - Az
This course is an in-depth introduction to SageMaker and the support it offers to train and deploy machine learning models in a distributed environment. SageMaker is a fully managed machine learning (ML) platform on AWS which makes prototyping, building, training, and hosting ML models very simple i
This course goes deep into two specific tools in the TensorFlow toolkit - tfdbg and TensorBoard. These tools can be used to examine the internal state of TensorFlow programs and to visualize execution metrics and state. An important facet of building good ML models is the ability to debug TensorFlow