Tensorflow是Google Brain研究人员开发的强大的机器学习开源软件库。它具有许多预构建的功能，以缓解构建不同神经网络的任务。 Tensorflow允许在不同的计算机以及单个机器中的多个CPU和GPU之间分配计算。 TensorFlow提供了一个Python API，以及较少记录的C ++ API。对于本课程，我们将使用Python。
Tensorflow is a powerful open-source software library for machine learning developed by researchers at Google Brain. It has many pre-built functions to ease the task of building different neural networks. Tensorflow allows distribution of computation across different computers, as well as multiple CPUs and GPUs within a single machine. TensorFlow provides a Python API, as well as a less documented C++ API. For this course, we will be using Python.
This course will cover the fundamentals and contemporary usage of the Tensorflow library for deep learning research. We aim to help students understand the graphical computational model of Tensorflow, explore the functions it has to offer, and learn how to build and structure models best suited for a deep learning project. Through the course, students will use Tensorflow to build models of different complexity, from simple linear/logistic regression to convolutional neural network and recurrent neural networks with LSTM to solve tasks such as word embeddings, translation, optical character recognition. Students will also learn best practices to structure a model and manage research experiments.