Complete Tensorflow 2 and Keras Deep Learning Bootcamp

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Price: 199.99$

This course will guide you through how to use Google’s latest Tensor Flow 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 Tensor Flow 2 framework in a way that is easy to understand. We’ll focus on understanding the latest updates to Tensor Flow and leveraging the Keras API (Tensor Flow 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 Num Py Crash Course Pandas Data Analysis Crash Course Data Visualization Crash Course Neural Network Basics Tensor Flow Basics Keras Syntax Basics Artificial Neural Networks Densely Connected Networks Convolutional Neural Networks Recurrent Neural Networks Auto Encoders GANs – Generative Adversarial Networks Deploying Tensor Flow into Productionand 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 Tensor Flow 2. Importantly, Keras provides several model-building APIs (Sequential, Functional, and Subclassing), so you can choose the right level of abstraction for your project. Tensor Flow’s implementation contains enhancements including eager execution, for immediate iteration and intuitive debugging, and tf. data, for building scalable input pipelines. Tensor Flow 2 makes it easy to take new ideas from concept to code, and from model to publication. Tensor Flow 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!