This is the Windows app named Seq2seq Chatbot for Keras whose latest release can be downloaded as Seq2seqChatbotforKeras.zip. It can be run online in the free hosting provider OnWorks for workstations.
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- 3. Muat naik aplikasi ini dalam pengurus filem tersebut.
- 4. Mulakan mana-mana emulator dalam talian OS OnWorks daripada tapak web ini, tetapi emulator dalam talian Windows yang lebih baik.
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- 6. Muat turun aplikasi dan pasangnya.
- 7. Muat turun Wine dari repositori perisian pengedaran Linux anda. Setelah dipasang, anda kemudian boleh mengklik dua kali aplikasi untuk menjalankannya dengan Wine. Anda juga boleh mencuba PlayOnLinux, antara muka mewah melalui Wine yang akan membantu anda memasang program dan permainan Windows yang popular.
Wain ialah cara untuk menjalankan perisian Windows pada Linux, tetapi tanpa Windows diperlukan. Wain ialah lapisan keserasian Windows sumber terbuka yang boleh menjalankan program Windows secara langsung pada mana-mana desktop Linux. Pada asasnya, Wine cuba untuk melaksanakan semula Windows yang mencukupi dari awal supaya ia boleh menjalankan semua aplikasi Windows tersebut tanpa memerlukan Windows.
SKRIN
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Seq2seq Chatbot untuk Keras
DESCRIPTION
This repository contains a new generative model of chatbot based on seq2seq modeling. The trained model available here used a small dataset composed of ~8K pairs of context (the last two utterances of the dialogue up to the current point) and respective response. The data were collected from dialogues of English courses online. This trained model can be fine-tuned using a closed-domain dataset to real-world applications. The canonical seq2seq model became popular in neural machine translation, a task that has different prior probability distributions for the words belonging to the input and output sequences since the input and output utterances are written in different languages. The architecture presented here assumes the same prior distributions for input and output words. Therefore, it shares an embedding layer (Glove pre-trained word embedding) between the encoding and decoding processes through the adoption of a new model.
Ciri-ciri
- The algorithm iterates by including the predicted token into the incomplete answer
- Chat with the pre-trained model
- Chat with the new model trained by our new GAN-based training algorithm
- Our model can be applied to other NLP tasks
- Contains a new generative model of chatbot based on seq2seq modeling
- This trained model can be fine-tuned using a closed domain dataset to real-world applications
Bahasa Pengaturcaraan
Python
Kategori
This is an application that can also be fetched from https://sourceforge.net/projects/seq2seq-chatbot-keras.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
