Mammoth Club All levels 10 sections 32 lectures

Build Advanced Chatbot with Transformer Neural Network

Constructing Cutting-Edge Chatbots using Transformer Neural Networks

01
Skill level
All levels
02
Sections
10
03
Lectures
32
04
Instructor
John Bura
What's inside

This course includes.

10
Sections
32
Lectures
32
Resources
Certificate of completion
Included
Mobile and desktop access
Included
AI learning assistance
Included
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Course content

Curriculum & lectures.

10 sections · 32 lectures
+ 00 Transformer Project Overview 3 lectures
00-01 Introduction To Transformer Neural Networks Locked
00-02 Transformer Project Overview Locked
Full Course Resource Files Locked
+ 01 Preprocess text data for Transformer chatbot ML 6 lectures
01-01 Connect To Google Drive Dataset In Colab Locked
01-02 Read Text Files In Python Locked
01-03 Read Movie Conversation Text File In Python Locked
01-04 Clean Text Data For Nlp Locked
01-05 Remove Contractions From Text Data With Python Locked
01-06 Preprocess Text Data For Transformer Chatbot Ml Locked
+ 02 Tokenize and filter sentences with Python 3 lectures
02-01 Build Tokenizer With Tfds Locked
02-02 Add Padding To Tokenized Sentences With Python Locked
02-03 Build Tensorflow Dataset For Ml Locked
+ 03 Build multi head attention layer for chatbot ML Python 4 lectures
03-01 Calculate Scaled Dot Product Attention Locked
03-02 Set Up Multi Head Attention Layer In Python Nn Locked
03-03 Split Attention Layer Into Multiple Heads Locked
03-04 Add Scaled Dot Product Attention And Final Layer Locked
+ 04 Build token masks for neural network 2 lectures
04-01 Mask Padding Tokens With Python Locked
04-02 Build Lookahead Mask For Future Tokens Locked
+ 05 Build positional encoding machine learning 2 lectures
05-01 Set Up Positional Encoding Layer In Neural Network Locked
05-02 Build Positional Encoding Layer With Tensorflow Keras Locked
+ 06 Build input encoder for neural network 2 lectures
06-01 Build Input Encoder For Neural Network Locked
06-02 Combine Input And Positional Encoding Locked
+ 07 Build decoder for NLP ML model 2 lectures
07-01 Set Up Decoder Layer With Python Locked
07-02 Combine Output And Positional Encoding For Decoder Locked
+ 08 Combine encoding and decoding in NN 6 lectures
08-01 Combine Encoding And Decoding In Nn Locked
08-02 Build Custom Ml Model Learning Rate Locked
08-03 Build Custom Model Loss Function Locked
08-04 Compile Neural Network With Python Locked
08-04B Zero Out Padding Tokens In Attention Locked
08-05 Limit And Pad Tokenized Sentences Locked
+ 09 Evaluate chatbot neural network 2 lectures
09-01 Handle New Chatbot Question Input Locked
09-02 Decode Tokens Into Words Locked
Description

About this course.

Welcome to the Build Advanced Chatbot with Transformer Neural Network course! In this program, you will dive deep into the world of natural language processing (NLP) and explore the cutting-edge Transformer neural network architecture for building advanced chatbots.

Throughout the course, you will learn the foundations of NLP and understand how the Transformer model revolutionized language processing tasks. You will gain hands-on experience in implementing and training Transformer models using popular deep learning frameworks such as TensorFlow and PyTorch.

You will start by understanding the key components of the Transformer model, including self-attention mechanisms and positional encoding. You will learn how to preprocess textual data, handle input/output sequences, and prepare training data for the chatbot.

Moving forward, you will explore different variations of Transformer models, such as BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer). You will learn how to fine-tune these models for specific chatbot applications, enabling your chatbot to generate high-quality responses and understand user intent.

Throughout the course, you will tackle various challenges in chatbot development, such as handling context and dialogue history, managing conversation flow, and addressing common pitfalls like generating plausible but incorrect responses. You will also delve into advanced techniques like transfer learning and reinforcement learning to enhance your chatbot's performance.

By the end of this course, you will have a solid understanding of advanced chatbot development using Transformer neural networks. You will be equipped with the skills to build state-of-the-art chatbots that can understand complex user queries, generate meaningful responses, and engage in dynamic conversations.

Enroll now and unlock the potential of Transformer models for building advanced chatbots. Harness the power of deep learning and NLP to create chatbot applications that can revolutionize customer support, virtual assistants, and other conversational interfaces. Get ready to bring your chatbot development skills to the next level and make a lasting impact in the field of natural language processing.


Instructors

Taught by people who ship.

John Bura

John Bura

Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.

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Constructing Cutting-Edge Chatbots using Transformer Neural Networks

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