π§βπDeep Learning Study | Notion
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π οΈTransformer Implementation
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π[1-2] Introduction & Supervised Learning
π[3] Shallow Neural Networks
π[4] Deep Neural Network
π[5] Loss functions
π[6] Fitting Models
π[7] Gradients and Initialization
π[8] Measuring Performance
π[9] Regularization
π[10] Convolution Networks
π[11] Residual Networks
π[12] Transformers
π[13] Graph neural networks
π[15] Generative Adversarial Networks
π[16] Normalizing Flow