Chatbot Engineering with Python - From Basics to Transformer-Powered AI

+ 00 Transformer Project Overview 2 lectures

01 Introduction To Transformer Neural Networks Locked

02 Transformer Project Overview Locked

+ 00A Build and tokenize chat data 2 lectures

01 Build Patterns And Responses Training Data Locked

02 Tokenize Chat Data For Training Locked

+ 00B Clean and process data for machine learning 3 lectures

01 Clean Chat Data For Machine Learning Locked

02 Build Bag Of Words For Ml Model Locked

03 Split Data For Machine Learning Locked

+ 00C Build and train TensorFlow model on chat data 4 lectures

01 Build A Tensorflow Machine Learning Model For Chat Locked

02 Test Chatbot Machine Learning Model Locked

03 Categorize Chat Question With Ml Locked

04 Pick A Chatbot Response In Top Category Locked

+ 01 Preprocess text data for Transformer chatbot ML 6 lectures

01 Connect To Google Drive Dataset In Colab Locked

02 Read Text Files In Python Locked

03 Read Movie Conversation Text File In Python Locked

04 Clean Text Data For NLP Locked

05 Remove Contractions From Text Data With Python Locked

06 Preprocess Text Data For Transformer Chatbot Ml Locked

+ 02 Tokenize and filter sentences with Python 3 lectures

01 Build Tokenizer With TFDs Locked

02 Add Padding To Tokenized Sentences With Python Locked

03 Build Tensorflow Dataset For Ml Locked

+ 03 Build multi head attention layer for chatbot ML Python 4 lectures

01 Calculate Scaled Dot Product Attention Locked

02 Set Up Multi Head Attention Layer In Python Nn Locked

03 Split Attention Layer Into Multiple Heads Locked

04 Add Scaled Dot Product Attention And Final Layer Locked

+ 04 Build token masks for neural network 2 lectures

01 Mask Padding Tokens With Python Locked

02 Build Lookahead Mask For Future Tokens Locked

+ 05 Build positional encoding machine learning 2 lectures

01 Set Up Positional Encoding Layer In Neural Network Locked

02 Build Positional Encoding Layer With Tensorflow Keras Locked

+ 06 Build input encoder for neural network 2 lectures

01 Build Input Encoder For Neural Network Locked

02 Combine Input And Positional Encoding Locked

+ 07 Build decoder for NLP ML model 2 lectures

01 Set Up Decoder Layer With Python Locked

02 Combine Output And Positional Encoding For Decoder Locked

+ 08 Combine encoding and decoding in NN 6 lectures

01 Combine Encoding And Decoding In Nn Locked

02 Build Custom Ml Model Learning Rate Locked

03 Build Custom Model Loss Function Locked

04 Compile Neural Network With Python Locked

05 Zero Out Padding Tokens In Attention Locked

06 Limit And Pad Tokenized Sentences Locked

+ 09 Evaluate chatbot neural network 2 lectures

01 Handle New Chatbot Question Input Locked

02 Decode Tokens Into Words Locked