TensorFlow training course

• Explore TensorFlow Basics
• Create and initialise variables and data 
• Use TensorFlow Mechanics to build graphs and train the model 
• Gain knowledge about the perceptron learning algorithm and binary classification
• Support vector machines: kernels and margin classification 
• Acquire knowledge in feedforward and feedback Artificial Neural Networks
• Learn Convolutional Neural Networks: explore model architecture and training 

Our TensorFlow training course for Deep Learning will give delegates a comprehensive introduction to this Google open-source software library, used by data science professionals for numerical computation using data flow graphs.

Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.

The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organisation for the purposes of conducting Machine Learning and Deep Neural Networks research. The system is general enough to be applicable in a wide variety of other domains as well.

"There was lots of in depth content on how to maximise the use of the software library for our business and an excellent, helpful trainer to guide us."

JP,  Software Engineer, TensorFlow, April 2021