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Премиум
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    Introduction
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    Finding the codes (Github)
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    A Look at the Projects
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    Intro
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    1 Dimensional Tensors
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    Vector Operations
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    2 Dimensional Tensors
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    Slicing 3D Tensors
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    Matrix Multiplication
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    Gradient with PyTorch
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    Outro
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    Intro
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    Making Predictions
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    Linear Class
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    Custom Modules
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    Creating Dataset
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    Loss Function
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    Gradient Descent
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    Mean Squared Error
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    Training - Code Implementation
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    Outro
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    Intro
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    What is Deep Learning
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    Creating Dataset
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    Perceptron Model
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    Model Setup
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    Model Training
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    Model Testing
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    Outro
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    Intro
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    Non-Linear Boundaries
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    Architecture
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    Feedforward Process
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    Error Function
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    Backpropagation
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    Code Implementation
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    Testing Model
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    Outro
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    Intro
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    MNIST Dataset
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    Training and Test Datasets
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    Image Transforms
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    Neural Network Implementation
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    Neural Network Validation
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    Final Tests
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    A note on adjusting batch size
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    Outro
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    Convolutions and MNIST
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    Convolutional Layer
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    Convolutions II
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    Pooling
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    Fully Connected Network
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    Neural Network Implementation with PyTorch
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    Model Training with PyTorch
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    The CIFAR 10 Dataset
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    Testing LeNet
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    Hyperparameter Tuning
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    Data Augmentation
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    Pre-trained Sophisticated Models
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    AlexNet and VGG16
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    VGG 19
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    Image Transforms
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    Feature Extraction
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    The Gram Matrix
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    Optimization
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    Style Transfer with Video
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    Python Crash Course - Free Access
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    Overview
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    Arrays vs Lists
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    Multidimensional Arrays
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    One Dimensional Slicing
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    Reshaping
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    Multidimensional Slicing
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    Manipulating Array Shapes
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    Matrix Multiplication
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    Stacking
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    Outro
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    Softmax
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    Cross Entropy