Supercharge your Machine Learning skills with Tensorflow 2
This is the code repository for Machine Learning Projects with TensorFlow 2.0[Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
TensorFlow is the world’s most widely adopted framework for Machine Learning and Deep Learning. TensorFlow 2.0 is a major milestone due to its inclusion of some major changes making TensorFlow easier to learn and use such as “Eager Execution”. It will support more platforms and languages, improved compatibility and remove deprecated APIs.
- Strengthen your foundations to build TensorFlow 2.0 projects by exploring its new features
- Analyze the Titanic data set to obtain desired results with ease
- Implement and organize your Tensorflow projects in a professional manner
- Use Tensorboard to inspect various metrics and monitor your project’s performance
- Research and make the most of other people's Kaggle solutions
- Use OpenAI Gym Environments for implementing state of the art reinforcement learning techniques using TF-Agents
- Apply the latest Transfer Learning techniques from Tensorflow
This course is for developers, data scientists and ML engineers who now want to enhance their skill set in Machine Learning using TensorFlow by building real-world projects. This course would appeal to someone who has a basic understanding of ML concepts, Python and TensorFlow.
This course has the following requirements:
Understanding of TensorFlow
Software Requirements: Operating system: any graphical OS: Windows or Linux preferably, MacOS
Browser: anything that can run on the OS well.
Jupyter, Latest Version
Python 3.x, 3.6 or 3.7 preferably
Hardware Requirements: Modern laptop or desktop