- $49
Deep Learning for Natural Language Processing
- Course
- 77 Lessons
Learn the basics of Machine Learning. Dive deep into Deep Learning for Natural Language Processing using TensorFlow 2 and Huggingface. Master how to build, train, evaluate, test and Deploy Deep Learning Models. Understanding Key MLOps concepts. Going from beginner to solving real world problems efficiently!
Contents
Introduction to NLP
Welcome
General introduction
Course material
Link to Code
Tensors and Variables in Tensorflow
Master tensor manipulation in Tensorflow 2
Basics
Initialization and Casting
Indexing
Maths Operations
Linear Algebra Operations
Common Methods
Ragged Tensors
Sparse Tensors
String Tensors
Variables
Building Neural Networks with Tensorflow
Master the basics of Tensorflow by creating and training a simple linear regression model
Task Understanding
Data Preparation
Linear regression Model
Error sanctioning
Training and optimization
Performance Measurement
Validation and testing
Corrective Measures
TensorFlow Datasets
Text processing for sentiment analysis
Understanding sentiment analysis
Text standardization
Tokenization
One-hot encoding and bag of words
Term frequency - Inverse Document frequency (TF-IDF)
Embeddings
Sentiment Analysis with Recurrent neural networks
How Recurrent neural networks work
Data Preparation
Building and training RNNs
Advanced RNNs (LSTM and GRU)
1D Convolutional Neural Network
Sentiment Analysis with transfer learning
Exploring different ways of evaluating classification models
Understanding Word2vec
Integrating pretrained Word2vec embeddings
Testing
Visualizing embeddings
Neural Machine Translation with Recurrent Neural Networks
Understanding Machine Translation
Data Preparation
Building, training and testing Model
Understanding BLEU score
Coding BLEU score from scratch
Neural Machine Translation with Bahdanau Attention
Understanding Bahdanau Attention
Building, training and testing Bahdanau Attention
Neural Machine Translation with Transformers
Understanding Transformer Networks
Building, training and testing Transformers
Building Transformers with Custom Attention Layer
Visualizing Attention scores
Sentiment Analysis with Transformers
Sentiment analysis with Transformer encoder
Sentiment analysis with LSH Attention
Transfer Learning and Generalized Language Models
Understanding Transfer Learning
Ulmfit
Gpt
Bert
Albert
Gpt2
Roberta
T5
Sentiment Analysis with Deberta in Huggingface transformers
Data preparation
Building,training and testing model
Ecommerce search engine with Sentence transformers
Problem Understanding and Sentence Embeddings
Dataset preparation
Building,training and testing model
Build LLM from scratch part 1 : Refresher
RNNs and Attention Models
How Transformers Work
Difference in Training and Inference
Build LLM from scratch part 2
Global Architecture of Mistral Model
Tokenization
Rotary Positional Encoding (RoPE)
Rotary Positional Encoding (RoPE) Practice
Group Query Attention
Sliding Window Attention
Kv-Caching
Transformer Block
Full Transformer Model
Deploying Mistral to the cloud (RunPod)