88 тысяч подписчиков
150 видео
Intro to Python chapter 2.3, Building a timer
1D convolution for neural networks, part 2: Convolution copies the kernel
Build a 1D convolutional neural network , part 2: Collect the Cottonwood blocks
Build a 2D convolutional neural network, part 2: Overview
Build a 2D convolutional neural network, part 10: Connecting layers
Build a 2D convolutional neural network, part 8: Training code setup
Build a 2D convolutional neural network, part 4: Model overview
How Data Science Works
Getting ready to learn Python, Mac edition #6: Download packages with pip
Intro to Python chapter 1.4, Building a clock
Build a 2D convolutional neural network, part 6: Examples of successes and failures
Intro to Python chapter 1.5, Building a clock
How to use python's datetime package
Intro to Python chapter 1.0, Building a clock
Implement 1D convolution, part 7: Weight gradient and input gradient
How convolutional neural networks work, in depth
Build a 2D convolutional neural network, part 5: Pre-trained model results
Build a 2D convolutional neural network, part 13: Loss history and text summary
Build your own neural network, Exercise 9
How decision trees work
Intro to Python chapter 2.2, Building a timer
1D convolution for neural networks, part 9: Stride
DataScienceForBeginnersIsYourDataReadyForDataScie high
Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet
How k-nearest neighbors works
Implement 1D convolution, part 1: Convolution in Python from scratch
Build your own neural network, Exercise 4
Build a 1D convolutional neural network, part 7: Evaluate the model
Build your own neural network, Exercise 6
Build a 2D convolutional neural network, part 1: Getting started
Implement 1D convolution, part 2: Comparison with NumPy convolution()
Implement 1D convolution, part 3: Create the convolution block
How Convolutional Neural Networks work
Build a 1D convolutional neural network , part 3: Connect the blocks into a network structure
Build a 2D convolutional neural network, part 3: MNIST digits
Build a 1D convolutional neural network, part 5: One Hot, Flatten, and Logging blocks
How to pick a machine learning model 1: Choosing between models
Getting ready to learn Python, Windows edition #3: Creating and editing text files
Build your own neural network, Exercise 5
How Bayes Theorem works
1D convolution for neural networks, part 1: Sliding dot product
The Softmax neural network layer
Build a 2D convolutional neural network, part 7: Why Cottonwood?
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Build a 2D convolutional neural network, part 16: Cottonwood code tour
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Intro to Python chapter 2.4, Building a timer
Intro to Python chapter 2.0, Building a timer
Getting ready to learn Python, Mac edition #4: Install and run Python
Build a 2D convolutional neural network, part 14: Collecting examples
