MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5.5 Hours | 8.59 GB
Genre: eLearning | Language: English
An intuitive introduction to processing natural language data with Deep Learning models Deep Learning for Natural Language Processing LiveLessons is an introduction to processing natural language with Deep Learning. These lessons bring intuitive explanations of essential theory to life with interactive, hands-on Jupyter notebook demos. Examples feature Python and Keras, the high-level API for TensorFlow, the most popular Deep Learning library. In the early lessons, specifics of working with natural language data are covered, including how to convert natural language into numerical representations that can be readily processed by machine learning approaches. In the later lessons, state-of-the art Deep Learning architectures are leveraged to make predictions with natural language data.
Deep_Learning_for_Natural_Language_Processing_-_Applications_of_Deep_Neural_Networks_to_Machine_Learning_Tasks.part2.rar - 1.2 GB
Deep_Learning_for_Natural_Language_Processing_-_Applications_of_Deep_Neural_Networks_to_Machine_Learning_Tasks.part3.rar - 1.2 GB
Deep_Learning_for_Natural_Language_Processing_-_Applications_of_Deep_Neural_Networks_to_Machine_Learning_Tasks.part4.rar - 1.2 GB
Deep_Learning_for_Natural_Language_Processing_-_Applications_of_Deep_Neural_Networks_to_Machine_Learning_Tasks.part5.rar - 1.2 GB
Deep_Learning_for_Natural_Language_Processing_-_Applications_of_Deep_Neural_Networks_to_Machine_Learning_Tasks.part6.rar - 1.2 GB
Deep_Learning_for_Natural_Language_Processing_-_Applications_of_Deep_Neural_Networks_to_Machine_Learning_Tasks.part7.rar - 1.2 GB
Deep_Learning_for_Natural_Language_Processing_-_Applications_of_Deep_Neural_Networks_to_Machine_Learning_Tasks.part8.rar - 398.2 MB
TO MAC USERS: If RAR password doesn't work, use this archive program:
RAR Expander 0.8.5 Beta 4 and extract password protected files without error.
TO WIN USERS: If RAR password doesn't work, use this archive program:
Latest Winrar and extract password protected files without error.