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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.
Learn to dockerize a skin cancer detection web app with Abhishek Thakur in under an hour, covering Docker installation, building, and testing.
Learn to build a web application for skin cancer detection using Flask, jinja2, and bootstrap with Abhishek Thakur. Less than 1-hour workload.
Explore T5 encoder-decoder model for NLP tasks with Abhishek Thakur's 1-2 hour material. Learn its implications for industry and application in sentiment span extraction on tweets.
Explore image restoration using deep learning with Subhaditya Mukherjee, a student at Vellore Institute of Technology, in this 1-2 hour webinar by Abhishek Thakur. Learn about dehazing and neural networks.
Learn to implement key evaluation metrics for regression problems in under an hour with Abhishek Thakur. Topics include Mean Absolute Error, R2 score, and more.
Learn to use Google's Sentencepiece tokenizer for question and answering systems in less than an hour with Abhishek Thakur. Implement it with various transformer models.
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