Introduction
Welcome
General Introduction
Applications of Deep Learning in Computer Vision
Course Structure
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Deep Learning for Natural Language Processing
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!
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This Course Includes
Practice based lessons
More than 100 lessons amounting to more than 40 hours + of video
Access to exclusive Neuralearn community
Full Lifetime access to all courses and resources
Access on mobile and TVPrerequiscites
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Learning Path
Tensors and Variables
Basics
Initialization and Casting
Indexing
Maths Operations
Linear Algebra Operations
Common TensorFlow Functions
Ragged Tensors
Sparse Tensors
String Tensors
Variables
Loading and Saving Models
Building Neural Networks with TensorFlow [Car Price Prediction]
Task Understanding
Data Preparation
Linear Regression Model
Error Sanctioning
Training and Optimization
Performance Measurement
Validation and Testing
Corrective Measures
Text Preprocessing 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
UUnderstanding 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 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
Model Deployment [Human Emotions Detection]
Understanding Quantization
Conversion from to Onnx Model
Quantization of Onnx Model
Quantization Aware Training
Conversion to TensorflowLite model
How APIs work
Building API with Fastapi
Deploying API to the Cloud
Load Testing API
Intent Classification with Deberta in Huggingface transformers
Problem Understanding and Data Preparation
Building,training and testing model
Intent Classification with Deberta in Huggingface transformers
Problem Understanding and Data Preparation
Building,training and testing model
Neural Machine Translation with T5 in Huggingface
Dataset Preparation
Building,training and testing model
Extractive Question Answering with Longformer in Huggingface transformers
Dataset Preparation
Building,training and testing model
Ecommerce search engine with Sentence transformers
Dataset Preparation
Building,training and testing model
Lyrics Generator with GPT2 in Huggingface transformers
Dataset Preparation
Building,training and testing model
Grammatical Error Correction with T5 in Huggingface transformers
Dataset Preparation
Building,training and testing model
Elon Musk Bot with BlenderBot in Huggingface transformers
Dataset Preparation
Building,training and testing model
Speech recognition
Understanding Automatic Speech Recognition
LJ- Speech Dataset
Fourier Transform
Short Time Fourier Transform
Conv - CTC Model
Learning Never Ends!!!
This Course Will Constantly be Updated
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