Deep Learning with TensorFlow: Applications of Deep Neural Networks to Machine Learning Tasks

使用TensorFlow进行深度学习LiveLessons是对深度学习的介绍，它通过来自最受欢迎的深度学习库TensorFlow及其高级API Keras的交互式演示，将革命性的机器学习方法带入生活。基本理论已白板化，以提供对深度学习的基础（即人工神经网络）的直观理解。该基础知识与克服基于Python的Jupyter笔记本中提供的常见陷阱和动手执行代码的技巧相结合，使以前不了解神经网络的个人可以构建强大的最新深度学习模型。

Video: .MP4, 1280×720 30 fps | Audio: AAC, 48kHz, 2ch | Duration: 6h
Genre: eLearning | Language: English + Subtitles | Size: 9.98 GB

Deep Learning with TensorFlow LiveLessons is an introduction to Deep Learning that bring the revolutionary machine-learning approach to life with interactive demos from the most popular Deep Learning library, TensorFlow, and its high-level API, Keras. Essential theory is whiteboarded to provide an intuitive understanding of Deep Learning’s underlying foundations, i.e., artificial neural networks. Paired with tips for overcoming common pitfalls and hands-on code run-throughs provided in Python-based Jupyter notebooks, this foundational knowledge empowers individuals with no previous understanding of neural networks to build powerful state-of-the-art Deep Learning models.

The companion materials for this LiveLesson can be found at https://github.com/the-deep-learners/TensorFlow-LiveLessons/.

Skill Level

Intermediate
Learn How To

Build Deep Learning models in TensorFlow and Keras
Interpret the results of Deep Learning models
Troubleshoot and improve Deep Learning models
Understand the language and fundamentals of artificial neural networks
Build your own Deep Learning project
Who Should Take This Course

This course is perfectly suited to software engineers, data scientists, analysts, and statisticians with an interest in Deep Learning. Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful. Previous experience with statistics or machine learning is not necessary.
Course Requirements

Some experience with any of the following are an asset, but none are essential:

Object-oriented programming, specifically Python
Simple shell commands, e.g., in Bash
Machine learning or statistics
First-year college calculus