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Explore deep learning models for survival analysis with Kaggle Master, Abhishek Thakur. Learn to predict time-to-event outcomes in under an hour.
Learn to build conversational bots with Machine Learning Engineer, Merve Noyan. Covering frameworks, natural language understanding, dialogue management, and common mistakes in a 1-2 hour workshop.
Learn about BigBird block sparse attention in under an hour with Abhishek Thakur. Understand its implementation, comparison with BERT, and usage tips for better performance.
Learn to generate images from text prompts with DALL·E mini, a simplified model by Abhishek Thakur. Understand the model's architecture, training, and application in just 1-2 hours.
Learn the basics of Decision Trees in Machine Learning, including regression, gini, entropy, and squared loss, in less than an hour with Abhishek Thakur.
Learn the basics of tokenization in Natural Language Processing in less than an hour with Abhishek Thakur. Ideal for beginners in NLP.
Learn about NLP breakthroughs, Transfer Learning, and Transformer architectures with Thomas Wolf, co-founder of HuggingFace. Explore open-source tools in a 1-2 hour workload.
Learn to automate hyperparameter optimization for neural networks using Optuna in less than an hour with Abhishek Thakur. Ideal for PyTorch users.
Learn about CycleGANs, their applications, and pitfalls from child prodigy Tanishq Abraham. Includes a code demo and insights into applying CycleGANs to pathology. 1-2 hours.
Learn to verify mask usage with Deep Learning from Lyft's Sr. Computer Vision Engineer, Vladimir Iglovikov. Material takes 1-2 hours.
Learn to implement a Convolutional-RNN model for captcha recognition using PyTorch in a 1-2 hour tutorial by Abhishek Thakur.
Learn hyperparameter optimization techniques with Abhishek Thakur in under an hour. Topics include Grid Search, Random Search, Bayesian Optimization, Hyperopt, and Optuna.
Learn to convert any PyTorch model to ONNX and serve it using Flask API with Abhishek Thakur's concise, less than 1-hour material. Ideal for BERT sentiment model users.
Learn to build an entity extraction model using BERT with Abhishek Thakur. This 1-2 hour material covers data loading, tokenizing, training, and prediction using PyTorch and huggingface's transformers library.
Learn to use Docker for deep learning model training with Abhishek Thakur. Master NVIDIA docker runtimes & PyTorch for melanoma classification. Less than 1hr workload.
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