The written presentation draft is due 4/25 6:00pm. Extra Homework 1 is online. It is due 5/14, 10:00am. Extra Homework 2 is online. It is due 5/14, 10:00am.
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Introduction to Deep Learning (DML) Spring 2025
Lab Notebooks
zsamboki/bsm-introduction-to-deep-learning-spring-2025
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  • Homeworks
zsamboki/bsm-introduction-to-deep-learning-spring-2025
  • Home
    • Installation Instructions
    • Syllabus
    • 2/5 Basics of Supervised Learning
    • 2/7 Linear Regression
    • 2/12 Multinomial Logistic Regression I
      Gradient Descent
    • 2/14 Multinomial Logistic Regression II
      Negative Log Likelihood
    • 2/19 Stochastic Gradient Descent
    • 2/21 Repeated Experiments
      Confidence Intervals and Ensembles
    • 2/26 Early Stopping and Grid Search
    • 2/28 Binary Text Classification with Latent Semantic Analysis
    • 3/5 Word Vectors
    • 3/7 Introduction to Reinforcement Learning
    • 3/12 Bellmann Operators and Q-Learning
    • 3/14 Nonlinear Function Approximation with Multilayer Perceptrons
    • 3/19 Initialization
    • 3/21 Population-Based Training
    • 3/26 Optimizers
    • 3/28 REINFORCE
    • 4/2 Proximal Policy Optimization (PPO)
    • 4/4 Introduction to Geometric Deep Learning
    • 4/9 Deep Sets
    • 4/11 Deep Sets Review
    • 4/16 Permutation Invariant and Equivariant Linear Layers
    • 4/23 Convolutional Neural Networks
    • 4/25 Dropout, Normalization, and Residual Layers
    • 4/30 Transformers
    • 5/7 Tokenization and Positional Encodings
    • 5/8 Generative Pretrained Transformer
  • Lab Notebooks
    • Homework 1
      Due 2/21, 10:00am
    • Homework 2
      Due 2/28, 10:00am
    • Homework 3
      Due 3/7, 10:00am
    • Homework 4
      Due 3/14, 10:00am
    • Homework 5
      Due 3/21, 10:00am
    • Homework 6
      Due 3/28, 10:00am
    • Homework 7
      Due 4/4, 10:00am
    • Homework 8
      Due 4/11, 10:00am
    • Homework 9
      Due 4/22, 10:00am
    • Homework 10
      Due 4/28, 10:00am
    • Homework 11
      Due 5/7, 10:00am
    • Extra Homework 1
      Due 5/14, 10:00am
    • Extra Homework 2
      Due 5/14, 10:00am

Lab Notebooks

Date without Solutions with Solutions Data Util
2 / 7 Download Download abalone.pt
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3 / 5 Download Download emotion-sadness-joy-fasttext.zip Download
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3 / 19 Download Download abalone_preprocessed.pt
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