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Learn to code a simple neural network using the Pytorch-framework with Aladdin Persson's step-by-step guide. Less than 1 hour of material.
Learn to implement YOLO from scratch with Aladdin Persson's 1-2 hour material, covering architecture, loss function, dataset, and training setup.
Learn to build a model with TensorFlow to classify skin lesions as benign or malignant in this beginner project by Aladdin Persson. Less than 1-hour workload.
Learn to create an input pipeline for text data with Aladdin Persson's tutorial, focusing on TextLineDataset. Ideal for handling various text data structures in under 1 hour.
Learn to use TensorBoard for loss plots, accuracy plots, image data visualization, confusion matrices, hyperparameter search, and more with Aladdin Persson's 1-2 hour tutorial.
Learn to use TensorFlow Datasets for image classification and sentiment analysis in this concise tutorial by Aladdin Persson. Less than 1-hour workload.
Learn to build custom datasets for text in Pytorch with Aladdin Persson in under an hour, focusing on image captioning and text data handling.
Learn to build a Seq2Seq with Transformers in Pytorch for machine translation from German to English, in under an hour with Aladdin Persson.
Learn to implement Pytorch Transformers from scratch with Aladdin Persson in under an hour, including a review of the original "Attention is all you need" paper.
Learn to build a Seq2Seq model from scratch for machine translation with Aladdin Persson's tutorial, focusing on German to English sentences using the Multi30k dataset.
Dive into Pytorch's tensorboard with Aladdin Persson's in-depth guide, covering loss functions, accuracy, hyperparameter search, and image visualization in under an hour.
Explore robust speech recognition through weak supervision with Aladdin Persson in under an hour. Understand the Whisper paper, its approach, and results.
Understand Graph Convolutional Networks in less than an hour with Aladdin Persson. Learn problem introduction, GCN operation, theory, node classification, and conclusions.
Explore Latent Dirichlet Allocation and Gibbs Sampling with Aladdin Persson in under an hour. Learn topic modelling, posterior inference, and implementation.
Learn to build a Variational Autoencoder from scratch in PyTorch with Aladdin Persson in under an hour.
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