Pytorch Deep Learning

🚀 Pytorch & Huggingface Deep Learning Course (Colab Hands-On) 📚

Course Headline: From Zero To Hero (BERT & T5)

Welcome to the Pytorch Deep Learning "From Zero To Hero" Series! 🚀

If you're already comfortable with Python basics and are looking for your next challenge, this course is your golden ticket to elevate your programming skills to levels that can tackle real-world business problems. 🎩

Agenda:

• Introduction
• Google Colaboratory Setup
• Understanding Neurons
• Building a Perceptron
• Making Your Perceptron Trainable
• Data Normalization Techniques
• Activation Functions Uncovered
• Mastering Loss Functions
• Gradient Descent: The Core of Learning
• PyTorch's Elegant Gradient Descent Implementation
• Final Project: Putting Your Knowledge into Action
• Project Explanation & Discussion
• Multi Layer Perceptron (MLP) Deep Dive
• One Hot Encoding for Data Preparation
• Preparing MLP Data
• Defining and Training an MLP
• Final Project: MLP Application
• Fully Connected Neural Network (FCNN)
• Classifying Letter Sentiments with FCNN
• Final Project for FCNN
• Convolutional Neural Networks (CNN)
• Data Preparation for Fashion MNIST
• Building and Training a CNN Model
• CNN Inference and Applications
• Final Project for CNN
• Recurrent Neural Networks (RNN) Explained
• Data Preparation for RNN
• Model Definition and Training
• RNN Inference Techniques
• BERT Sesame Street: Transformer Language Modeling
• Data Preparation with IMDB Reviews
• BERT Model Architecture & Fine-tuning
• BERT Model Evaluation
• BERT Model Predictions
• BERT Final Project
• Transformer Models: T5 for Various NLP Tasks
• Data Preparation for T5
• T5 Model Architecture & Training
• T5 Model Evaluation
• T5 Model Predictions
• T5 Final Project

This journey through deep learning will take you from the foundational concepts of neurons and perceptrons, all the way to mastering BERT and T5 models using Pytorch and Huggingface libraries. Each step is designed to build upon the previous one, ensuring a solid understanding of both theory and practical application. 🧠

In every piece of code we write, we're reminded of the Zen of Python: "Beautiful is better than ugly," "Readability counts," and simplicity trumps complexity. These principles guide us through this course, ensuring that by its end, not only will you have a mastery over deep learning techniques but also a clean and maintainable codebase that you can be proud of. ✨

Let's embark on this exciting journey together! 🚀💻✨