Deep Learning with Tensorflow and Keras

About this course

Learn deep learning with TensorFlow 2 and Keras. Over three days you will move from NumPy, pandas and visualisation through machine learning theory to building artificial and convolutional neural networks for image classification, including medical imaging.

What you'll learn

• Learn to use TensorFlow 2.0 for Deep Learning
• Leverage the Keras API to quickly build models that run on Tensorflow 2
• Perform Image Classification with Convolutional Neural Networks
• Use Deep Learning for medical imaging
• Forecast Time Series data with Recurrent Neural Networks
• Use Generative Adversarial Networks (GANs) to generate images
• Use deep learning for style transfer
• Generate text with RNNs and Natural Language Processing
• Serve Tensorflow Models through an API
• Use GPUs for accelerated deep learning

Curriculum

Who it's for

Developers, analysts and researchers with basic Python skills.

Before you start

• Introduction to Python and Python for Data Science ; Python for Machine Learning recommended