Complete Tensorflow 2 and Keras Deep Learning Bootcamp
What Is Bootcamp?
In other words, This course will guide you through how to use Google’s latest Tensorflow 2 and Keras Deep Learning Bootcamp 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!
Firstly, This course is design to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and Tensorflow 2 and Keras Deep Learning Bootcamp 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!
Secondly, Keras, a user-friendly API standard for machine learning, will be the central high-level API use to build and train models. The Keras API makes it easy to get start 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 Tensorflow 2 and Keras Deep Learning Bootcamp 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
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It is use by major companies.
Thirdly, 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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