lecture_note_chapters.json

[
    {
        "cnum": "1",
        "title": "Introduction",
        "page": 7,
        "filename": "chapter_pdfs/chapter_Introduction.pdf"
    },
    {
        "cnum": "2",
        "title": "Regression",
        "page": 14,
        "filename": "chapter_pdfs/chapter_Regression.pdf"
    },
    {
        "cnum": "3",
        "title": "Gradient Descent",
        "page": 24,
        "filename": "chapter_pdfs/chapter_Gradient_Descent.pdf"
    },
    {
        "cnum": "4",
        "title": "Classification",
        "page": 30,
        "filename": "chapter_pdfs/chapter_Classification.pdf"
    },
    {
        "cnum": "5",
        "title": "Feature representation",
        "page": 43,
        "filename": "chapter_pdfs/chapter_Feature_representation.pdf"
    },
    {
        "cnum": "6",
        "title": "Neural Networks",
        "page": 51,
        "filename": "chapter_pdfs/chapter_Neural_Networks.pdf"
    },
    {
        "cnum": "7",
        "title": "Clustering",
        "page": 65,
        "filename": "chapter_pdfs/chapter_Clustering.pdf"
    },
    {
        "cnum": "8",
        "title": "Convolutional Neural Networks",
        "page": 71,
        "filename": "chapter_pdfs/chapter_Convolutional_Neural_Networks.pdf"
    },
    {
        "cnum": "9",
        "title": "Transformers",
        "page": 78,
        "filename": "chapter_pdfs/chapter_Transformers.pdf"
    },
    {
        "cnum": "10",
        "title": "Autoencoders",
        "page": 86,
        "filename": "chapter_pdfs/chapter_Autoencoders.pdf"
    },
    {
        "cnum": "11",
        "title": "Markov Decision Processes",
        "page": 90,
        "filename": "chapter_pdfs/chapter_Markov_Decision_Processes.pdf"
    },
    {
        "cnum": "12",
        "title": "Reinforcement learning",
        "page": 98,
        "filename": "chapter_pdfs/chapter_Reinforcement_learning.pdf"
    },
    {
        "cnum": "13",
        "title": "Non-parametric methods",
        "page": 106,
        "filename": "chapter_pdfs/chapter_Non-parametric_methods.pdf"
    },
    {
        "cnum": "A",
        "title": "Matrix derivative common cases",
        "page": 115,
        "filename": "chapter_pdfs/chapter_Matrix_derivative_common_cases.pdf"
    },
    {
        "cnum": "B",
        "title": "Optimizing Neural Networks",
        "page": 121,
        "filename": "chapter_pdfs/chapter_Optimizing_Neural_Networks.pdf"
    },
    {
        "cnum": "C",
        "title": "Recurrent Neural Networks",
        "page": 126,
        "filename": "chapter_pdfs/chapter_Recurrent_Neural_Networks.pdf"
    },
    {
        "cnum": "D",
        "title": "Supervised learning in a nutshell",
        "page": 136,
        "filename": "chapter_pdfs/chapter_Supervised_learning_in_a_nutshell.pdf"
    },
    {
        "cnum": "Index",
        "title": "Index",
        "page": 141,
        "filename": "chapter_pdfs/chapter_Index.pdf"
    }
]