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Learn to build a WaveNet-like architecture with Andrej Karpathy in under an hour. Gain insights into deep learning development and torch.nn while enhancing your understanding of multidimensional tensor shapes.
Learn to manually backpropagate through a 2-layer MLP with BatchNorm, enhancing your understanding of neural network optimization with Andrej Karpathy. (1-2hr workload)
Dive into MLP internals, scrutinize activation & gradient statistics, and learn about Batch Normalization in this 1-2 hour program by Andrej Karpathy.
Learn to implement a multilayer perceptron character-level language model with Andrej Karpathy. Gain insights into machine learning basics like model training, hyperparameters, and more in 1-2 hours.
Learn to build a bigram character-level language model with Andrej Karpathy. The 1-2 hour material covers torch.Tensor use, model training, and evaluation.
Andrej Karpathy's step-by-step guide to backpropagation and neural networks training, requiring only basic Python and high school calculus. Duration: 2-3 hours.
Learn to build a Generatively Pretrained Transformer (GPT) from scratch with Andrej Karpathy. Understand connections to ChatGPT and watch GitHub Copilot assist in coding. Requires 1-2 hours.
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