Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Training | Edureka
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The document provides an overview of chatbots, detailing their functions, components, and applications in various industries. It discusses the role of natural language processing (NLP), neural networks, and deep learning in chatbot development. Additionally, it highlights the increasing importance of chatbots in customer service interactions.
Creating Chatbots Using TensorFlow | Chatbot Tutorial | Deep Learning Training | Edureka
- 6. www.edureka.co Why do we need CHATBOT? Let’s try and fool the humans! Let the Robots do the work for us!
- 8. www.edureka.co What is CHATBOT? A Chatbot is an automated system designed to initiate a conversation with human users or other chatbots
- 9. www.edureka.co Natural Language Processing (NLP) layer Knowledge Base / CMS Data Store How does CHATBOT work?
- 10. www.edureka.co Natural Language Processing (NLP) layer Mapping the given input in natural language into useful representations. Analyzing different aspects of the language. NLP Layer
- 11. www.edureka.co Knowledge Base / CMS Real-time, personalized customer experiences Universal content accessibility & personalization Ability to reach and retain customers Chatbots will power 85 percent of all customer service interactions by 2020 Knowledge Base/ CMS
- 12. www.edureka.co Data Store Data Store Data required to train the bot User’s chat comes to bot once it’s deployed.
- 13. www.edureka.co Natural Language Processing (NLP) layer Knowledge Base / CMS Data Store
- 14. www.edureka.co Volume of conversations Consistency of the agents Training the agents Length of conversations Complexity of incoming & outgoing questions
- 16. www.edureka.co Applications of CHATBOT: Order Food
- 17. www.edureka.co Applications of CHATBOT: Real Estate
- 18. www.edureka.co Applications of CHATBOT: Flight Tickets
- 19. www.edureka.co Applications of CHATBOT: Product Selection
- 20. www.edureka.co Applications of CHATBOT: Healthcare
- 22. www.edureka.co Layers of CHATBOT TensorFlow Deep Learning Neural Networks Natural Language Processing
- 23. www.edureka.co Layers of CHATBOT TensorFlow Deep Learning Neural Networks Natural Language Processing
- 24. www.edureka.co What is NLP? TensorFlow Deep Learning Neural Networks Natural Language Processing
- 25. www.edureka.co Natural Language Processing NLP: Natural Language Processing is a part of computer science and artificial intelligence which deals with human languages.
- 26. www.edureka.co Natural Language Processing Natural Language Understanding NLU Natural Language Generation NLG ➢ Mapping input to useful representations ➢ Analyzing different aspects of the language ➢ Text Planning ➢ Sentence Planning ➢ Text Realization
- 27. www.edureka.co TensorFlow Deep Learning Neural Networks Natural Language Processing What are Neural Networks? HIDDEN LAYERS 784Neurons OUTPUT
- 28. www.edureka.co What are Neural Networks? Neural Networks 784Neurons HIDDEN LAYERS 10LAYERS Neurons Connection between them
- 29. www.edureka.co What are Neural Networks? 784Neurons HIDDEN LAYERS 10LAYERS A neural network is a type of machine learning which models itself after the human brain
- 30. www.edureka.co What is Deep Learning? TensorFlow Neural Networks Natural Language Processing Deep Learning
- 31. www.edureka.co What is Deep Learning? Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data
- 33. www.edureka.co How Deep Learning Works? 02 03 01 04 05 Identifies relevant data sets & prepares them for analysis Understands problem & whether deep learning is a good fit Builds an analytical model based on the chosen algorithm Trains algorithm on large amount of labeled data Tests the model’s performance against unlabeled data
- 34. www.edureka.co TensorFlow Deep Learning Neural Networks Natural Language Processing What is TensorFlow?
- 35. www.edureka.co What is TensorFlow? Tensor Flow ADD MATMUL Data RESULT
- 36. www.edureka.co What is TensorFlow? Tensor Flow ADD MATMUL Data RESU LT Tensors are the standard way of representing data in deep learning and Tensorflow computes data as a dataflow graph
- 37. www.edureka.co What is TensorFlow? TensorFlow can train and run deep neural networks for handwritten digit classification and image recognition