Learn how to use Google’s Deep Learning Framework – TensorFlow with Python! Solve problems with cutting edge techniques in this free EdYoda course!
Welcome to the Complete Guide to TensorFlow for Deep Learning with Python in this free EdYoda course!
This course will guide you through how to use Google’s TensorFlow framework to create artificial neural networks for deep learning! This course 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. Other courses and tutorials have tended to stay away from pure TensorFlow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended while showing you the latest techniques available in deep learning!
This free EdYoda course is designed to balance theory and practical implementation, with complete 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!
In this free course, we will explain the basics of TensorFlow and Keras Libraries. TensorFlow is Google’s Open Source library for primarily developing Deep Learning Products. It converts Machine Learning algorithms into edges and nodes. Tensors are core elements for data storage in TensorFlow which is very similar to NumPy. Even if it was primarily developed for Deep Learning but it can also be used for developing Machine Learning Products.
You will learn the implementation of different algorithms using TensorFlow and Keras libraries.
What you’ll learn:
- Learn the basics of Tensorflow Library
- Learn the basics of Keras Library
- Implement Linear Regression and Logistic Regression using TensorFlow and Keras
- Implement Neural Networks using TensorFlow and Keras
- Basic knowledge of scripting and programming
- Basic knowledge of python programming
Who this course is for:
- Beginners who want to learn Machine Learning
- Software developers who want to learn TensorFlow library from scratch
- Python developers who are interested to learn machine learning using TensorFlow
- Professionals who want to update their skill set by learning the TensorFlow library and its use in Machine Learning.
There are many Deep Learning Frameworks out there, so why use TensorFlow?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
It is used by major companies all over the world, including Airbnb, Ebay, Dropbox, Snapchat, Twitter, Uber, SAP, Qualcomm, IBM, Intel, and of course, Google!
Become a machine learning guru today! We’ll see you inside the course!
Don’t overthink just enroll in this free EdYoda course for machine learning using TensorFlow by just clicking the button below!
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