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UdemyComplete Tensorflow 2 and Keras Deep Learning Bootcamp
4.7(8,927)56k studentsALL LEVELSEnglish
UdemyGoogle's TensorFlow framework and its high-level Keras API let you build neural networks for forecasting, medical imaging, sales prediction, and text generation. This course balances theory with executable jupyter notebooks, covering NumPy, Pandas, and visualization fundamentals alongside artificial neural networks, convolutional architectures, recurrent networks, autoencoders, and GANs.
Keras offers three model-building approaches—Sequential, Functional, and Subclassing—so you choose the right abstraction for your problem. Used by Airbnb, Twitter, Uber, Google, and dozens of other major companies, TensorFlow 2's eager execution and tf.data pipelines make iterating and debugging intuitive. Exercises throughout test your skills on real problems, not toy datasets.
This course will guide you through how to use Google's latest TensorFlow 2 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 2 framework in a way that is easy to understand.
We'll focus on understanding the latest updates to TensorFlow and leveraging the Keras API (TensorFlow 2.0's official API) to quickly and easily build models. In this course we will build models to forecast future price homes, classify medical images, predict future sales data, generate complete new text artificially and much more!
This 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!
This course covers a variety of topics, including
NumPy Crash Course
Pandas Data Analysis Crash Course
Data Visualization Crash Course
Neural Network Basics
TensorFlow Basics
Keras Syntax Basics
Artificial Neural Networks
Densely Connected Networks
Convolutional Neural Networks
Recurrent Neural Networks
AutoEncoders
GANs - Generative Adversarial Networks
Deploying TensorFlow into Production
and much more!
Keras, a user-friendly API standard for machine learning, will be the central high-level API used to build and train models. The Keras API makes it easy to get started with TensorFlow 2. Importantly, Keras provides several model-building APIs (Sequential, Functional, and Subclassing), so you can choose the right level of abstraction for your project. TensorFlow’s implementation contains enhancements including eager execution, for immediate iteration and intuitive debugging, and tf.data, for building scalable input pipelines.
TensorFlow 2 makes it easy to take new ideas from concept to code, and from model to publication. TensorFlow 2.0 incorporates a number of features that enables the definition and training of state of the art models without sacrificing speed or performance
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 deep learning guru today! We'll see you inside the course!
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Not the best price we've seen. The lowest we've recorded is $16.99 on 3 Aug.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.