It is an introduction to TensorFlow as the course name implies it. Intermediate Level, and will lead you to dive into deep learning/ computer vision/ artificial intelligence.
Learn best practice for using TensorFlow and theoretical foundation for computer vision. Build a basic neural network. Use convolutions to improve neural networks, including using pooling layers and dense layers.
The DeepLearning.AI TensorFlow: Advanced Techniques Specialization introduces the features of TensorFlow that provide learners with more control over their model architecture, and gives them the tools to create and train advanced ML models.
The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In this hands-on, four-course Professional Certificate program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow.
What you will learn 1 Best practices for TensorFlow, a popular open-source machine learning framework to train a neural network for a computer vision applications. 2 Handle real-world image data and explore strategies to prevent overfitting, including augmentation and dropout. 3 Build natural language processing systems using TensorFlow. 4 Apply RNNs, GRUs, and LSTMs as you train them using text repositories.
This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.