CG数据库 >> Complete Guide to TensorFlow for Deep Learning with Python

Complete Guide to TensorFlow for Deep Learning with PythonEnglish | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 14 Hours | 2.25 GBLearn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!This course will guide you through how to use Google's TensorFlow framework to create artificial neural networks for deep learning! This course aims to give you an easy to understand guide to the complexities of Google's TensorFlow framework in a way that is easy to understand. Other courses and tutorials have tended to stay away from pure tensorflow and instead use abstractions that give the user less control. Here we present a course that finally serves as a complete guide to using the TensorFlow framework as intended, while showing you the latest techniques available in deep learning!This course is designed to balance theory and practical implementation, with complete jupyter notebook guides of code and easy to reference slides and notes. We also have plenty of exercises to test your new skills along the way!This course covers a variety of topics, includingNeural Network BasicsTensorFlow BasicsArtificial Neural NetworksDensely Connected NetworksConvolutional Neural NetworksRecurrent Neural NetworksAutoEncodersReinforcement LearningOpenAI Gymand much more!


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发布日期: 2018-10-17