[FreeCoursesOnline.Me] [Packt] Interactive Chatbots with TensorFlow [FCO]
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2019-6-26 14:47 | 2024-12-15 22:19 | 166 | 434.71 MB | 38 |
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文件列表
- 1 - NLP Practices for Chatbot Development/01 - The Course Overview.mp418.77MB
- 1 - NLP Practices for Chatbot Development/02 - Tokenization.mp435.65MB
- 1 - NLP Practices for Chatbot Development/03 - Stemming.mp48.23MB
- 1 - NLP Practices for Chatbot Development/04 - Lemmatization.mp45.07MB
- 1 - NLP Practices for Chatbot Development/05 - Vectorization.mp49.34MB
- 1 - NLP Practices for Chatbot Development/06 - Word Embedding.mp46.95MB
- 1 - NLP Practices for Chatbot Development/07 - Named Entity Recognition.mp45.6MB
- 1 - NLP Practices for Chatbot Development/08 - Text Classification.mp44.51MB
- 2 - Building a Retrieval-Based Chatbot/09 - Understanding Retrieval-Based Chatbots.mp45.83MB
- 2 - Building a Retrieval-Based Chatbot/10 - Choosing the Ideal Similarity Measures.mp45.82MB
- 2 - Building a Retrieval-Based Chatbot/11 - Preparing Data for Your First Retrieval Chatbot.mp41.89MB
- 2 - Building a Retrieval-Based Chatbot/12 - Building Your First Functional Chatbot.mp46.56MB
- 3 - Integrating Neural Networks/13 - Implementing Linear Models.mp415.85MB
- 3 - Integrating Neural Networks/14 - Transitioning from Linear Models to Nonlinear Neural Networks.mp45.53MB
- 3 - Integrating Neural Networks/15 - Understanding Overfitting and Regularization.mp428.36MB
- 3 - Integrating Neural Networks/16 - Training Word2vec Models.mp411.54MB
- 3 - Integrating Neural Networks/17 - Deploying Recurrent Neural Networks (RNNs).mp41.91MB
- 3 - Integrating Neural Networks/18 - Applying LSTM to Named Entity Recognition.mp425.45MB
- 3 - Integrating Neural Networks/19 - Text Classification Using LSTM.mp421.18MB
- 4 - Generative Chatbots - Chatbots of the future/20 - Understanding Generative Chatbots.mp42.52MB
- 4 - Generative Chatbots - Chatbots of the future/21 - Incorporating Sequence2Sequence Models.mp42.77MB
- 4 - Generative Chatbots - Chatbots of the future/22 - Preparing Data for the Model.mp414.05MB
- 4 - Generative Chatbots - Chatbots of the future/23 - Preprocessing the Data.mp414.77MB
- 4 - Generative Chatbots - Chatbots of the future/24 - Building the Encoder.mp422.83MB
- 4 - Generative Chatbots - Chatbots of the future/25 - Building the Decoder.mp44.61MB
- 4 - Generative Chatbots - Chatbots of the future/26 - Training and Evaluating the Model.mp412.12MB
- 4 - Generative Chatbots - Chatbots of the future/27 - Deploying the Chatbot.mp48.56MB
- 5 - Making Your Chatbot Attentive/28 - Understanding Attention.mp43.39MB
- 5 - Making Your Chatbot Attentive/29 - Attention Mechanisms in Images.mp43.91MB
- 5 - Making Your Chatbot Attentive/30 - Soft versus Hard Attention.mp41.68MB
- 5 - Making Your Chatbot Attentive/31 - Implementing Attention.mp42.74MB
- 5 - Making Your Chatbot Attentive/32 - Adding Attention to Our seq2seq Model.mp49.13MB
- 5 - Making Your Chatbot Attentive/33 - Training and Evaluating the Model.mp433.16MB
- 6 - Contextual Generative Chatbots/34 - What Is Context.mp42.61MB
- 6 - Contextual Generative Chatbots/35 - Comparing States and Transitions.mp43.82MB
- 6 - Contextual Generative Chatbots/36 - Complete System Overview.mp42.39MB
- 6 - Contextual Generative Chatbots/37 - Building a Contextually Aware System.mp437.82MB
- 6 - Contextual Generative Chatbots/38 - Conclusion.mp427.76MB
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