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Chapter 0 – Introduction
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Chapter 8 – Feedforward
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Chapter 14 – Vanishing Gradient 2
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Chapter 15 – Regularisation
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Chapter 16 – Other Activation Functions
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Chapter 17 – Local Minima Trap
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Chapter 18 – Softmax
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Chapter 19 – Hyper-Parameters
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Introduction
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Filtering, selecting and assigning
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Merging, combining, grouping and sorting
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Summary statistics
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Creating date-time stamps
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Plotting
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Sets
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Functions
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Elementary functions 1
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Elementary functions 2
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Composition and Inverse Functions
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Coordinate systems
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Complex plane
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Complex functions
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Holomorphic functions
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Linear Differential Equations
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First-order ODEs
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Higher order Linear ODEs
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Series ODE
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First-order linear PDEs
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Heat (diffusion) equation
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Wave equation
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Self-similar solutions
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ODEs
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Systems of linear equations
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Theory
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Eigenvalues and eigenvectors
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Linear Algebra in Python
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Matrices
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Eigenvalues
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Heun’s method
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Runge-Kutta method
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FTCS scheme
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BTCS scheme
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Numerical integration
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Roots of equations
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Linear algebra introduction
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Gaussian elimination
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LU decomposition
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Ill-conditioning and roundoff errors
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Iterative methods to solve a matrix
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Sequences and Series
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Fourier series
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Fourier transforms
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Taylor series
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