Abhishek Thakur Courses

Deep Learning for Survival Analysis

Explore deep learning models for survival analysis, applying them to predict time-to-event outcomes in various fields like credit, machinery, and healthcare with Louise Ferbach.

• YouTube
• 59 minutes
• On-Demand
• Free Video

BYOB - Build Your Own Bot

Learn to build conversational agents with frameworks, NLP techniques, and best practices. Explore intent recognition, dialogue management, and generative models while avoiding common pitfalls in chatbot development.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Understanding BigBird - Transformers for Longer Sequences

Explore BigBird's block sparse attention for long sequences, comparing it with BERT and Longformer. Learn implementation, complexity, use cases, and performance optimization tips.

• YouTube
• 27 minutes
• On-Demand
• Free Video

DALL-E Mini - Generate Images From a Text Prompt

Learn about DALL·E mini, a smaller version of OpenAI's DALL·E that generates images from text prompts. Explore its architecture, training process, and capabilities in this comprehensive overview.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Video

What Are Decision Trees and How Do They Work - From Scratch

Comprehensive guide to decision trees in machine learning, covering basics, implementation, and advanced concepts using real-world examples and scikit-learn comparisons.

• YouTube
• 50 minutes
• On-Demand
• Free Video

Natural Language Processing - Tokenization

Learn the fundamentals of tokenization in NLP, covering simple techniques and NLTK implementation. Gain practical coding skills for text processing and analysis.

• YouTube
• 20 minutes
• On-Demand
• Free Video

An Introduction to Transfer Learning in NLP and HuggingFace

Explore breakthroughs in NLP through transfer learning and Transformers. Discover HuggingFace's open-source tools for democratizing NLP research and development.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Automated Hyperparameter Tuning for Deep Neural Networks

Comprehensive guide to automated hyperparameter tuning for deep neural networks using Optuna, covering dataset preparation, model design, and optimization techniques in PyTorch.

• YouTube
• 56 minutes
• On-Demand
• Free Video

What Are CycleGANs? - A Novel Deep Learning Tool in Pathology

Explore CycleGANs for unpaired image conversion, including applications in pathology and microscopy. Learn model architecture, training, and inference through code demos and real-world examples.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

Detecting Masked Faces in the Pandemic World

Explore deep learning techniques for detecting masked faces during the pandemic with Vladimir Iglovikov, a Sr. Computer Vision Engineer at Lyft and Kaggle Grandmaster.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Captcha Recognition Using PyTorch - Convolutional-RNN + CTC Loss

Learn to implement a Convolutional-RNN model for captcha recognition using PyTorch. Covers data preparation, model architecture, CTC loss, and training/inference processes.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Hyperparameter Optimization - This Tutorial Is All You Need

Explore various hyperparameter optimization techniques including Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna to fine-tune models and optimize functions effectively.

• YouTube
• 1 hour
• On-Demand
• Free Video

How to Convert Almost Any PyTorch Model to ONNX and Serve It Using Flask

Learn to convert PyTorch models to ONNX format and deploy them using Flask, focusing on a BERT sentiment model. Gain practical skills in model conversion and API development.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Building an Entity Extraction Model Using BERT

Learn to build an entity extraction model using BERT, transformers library, and PyTorch. Covers dataset preparation, configuration, training, and prediction for creating custom entity extraction solutions.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

How to Train a Deep Learning Model Using Docker

Learn to train deep learning models using Docker, NVIDIA runtimes, and PyTorch for melanoma classification on a single GPU, with practical code implementation and troubleshooting tips.

• YouTube
• 21 minutes
• On-Demand
• Free Video