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📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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Deep Learning News #2, Feb 6 2021
ML Fundamentals
Deep Learning News #2, Feb 6 2021
Sebastian Raschka Intermediate 5y ago
Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 16: Cottonwood code tour
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 16: Cottonwood code tour
Brandon Rohrer Intermediate 5y ago
Simple Explanation of LSTM | Deep Learning Tutorial 36 (Tensorflow, Keras & Python)
ML Fundamentals ⚡ AI Lesson
Simple Explanation of LSTM | Deep Learning Tutorial 36 (Tensorflow, Keras & Python)
codebasics Beginner 5y ago
Run Jupyter Lab for Python, R, Swift from Google Colab with ColabCode
ML Fundamentals
Run Jupyter Lab for Python, R, Swift from Google Colab with ColabCode
1littlecoder Beginner 5y ago
L3.1 About Brains and Neurons
ML Fundamentals
L3.1 About Brains and Neurons
Sebastian Raschka Beginner 5y ago
Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit
ML Fundamentals
Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit
Weights & Biases Beginner 5y ago
Deep Networks Are Kernel Machines (Paper Explained)
ML Fundamentals
Deep Networks Are Kernel Machines (Paper Explained)
Yannic Kilcher Beginner 5y ago
Let's talk about AGI: Elon Musk vs Andrew Ng on Superintelligence
ML Fundamentals
Let's talk about AGI: Elon Musk vs Andrew Ng on Superintelligence
Aladdin Persson Beginner 5y ago
Capturing Object Detection History with Tensorflow Object Detection and Python
ML Fundamentals
Capturing Object Detection History with Tensorflow Object Detection and Python
Nicholas Renotte Beginner 5y ago
Code With Me : Decision Trees
ML Fundamentals ⚡ AI Lesson
Code With Me : Decision Trees
ritvikmath Advanced 5y ago
This Neural Network Makes Virtual Humans Dance! 🕺
ML Fundamentals
This Neural Network Makes Virtual Humans Dance! 🕺
Two Minute Papers Beginner 5y ago
Build a 2D convolutional neural network, part 15: Rendering examples
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 15: Rendering examples
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 14: Collecting examples
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 14: Collecting examples
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 13: Loss history and text summary
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 13: Loss history and text summary
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 12: Testing loop
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 12: Testing loop
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 11: The training loop
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 11: The training loop
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 10: Connecting layers
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 10: Connecting layers
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 9: Adding layers
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 9: Adding layers
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 8: Training code setup
ML Fundamentals
Build a 2D convolutional neural network, part 8: Training code setup
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 7: Why Cottonwood?
ML Fundamentals
Build a 2D convolutional neural network, part 7: Why Cottonwood?
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 6: Examples of successes and failures
ML Fundamentals
Build a 2D convolutional neural network, part 6: Examples of successes and failures
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 5: Pre-trained model results
ML Fundamentals
Build a 2D convolutional neural network, part 5: Pre-trained model results
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 4: Model overview
ML Fundamentals ⚡ AI Lesson
Build a 2D convolutional neural network, part 4: Model overview
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 3: MNIST digits
ML Fundamentals
Build a 2D convolutional neural network, part 3: MNIST digits
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 2: Overview
ML Fundamentals
Build a 2D convolutional neural network, part 2: Overview
Brandon Rohrer Intermediate 5y ago
Build a 2D convolutional neural network, part 1: Getting started
ML Fundamentals
Build a 2D convolutional neural network, part 1: Getting started
Brandon Rohrer Intermediate 5y ago
Build a 1D convolutional neural network, part 7: Evaluate the model
ML Fundamentals
Build a 1D convolutional neural network, part 7: Evaluate the model
Brandon Rohrer Beginner 5y ago
Build a 1D convolutional neural network, part 6: Text summary and loss history
ML Fundamentals
Build a 1D convolutional neural network, part 6: Text summary and loss history
Brandon Rohrer Beginner 5y ago
Build a 1D convolutional neural network, part 5: One Hot, Flatten, and Logging blocks
ML Fundamentals
Build a 1D convolutional neural network, part 5: One Hot, Flatten, and Logging blocks
Brandon Rohrer Beginner 5y ago
Build a 1D convolutional neural network, part 4: Training, evaluation, reporting
ML Fundamentals
Build a 1D convolutional neural network, part 4: Training, evaluation, reporting
Brandon Rohrer Advanced 5y ago
Build a 1D convolutional neural network , part 3: Connect the blocks into a network structure
ML Fundamentals
Build a 1D convolutional neural network , part 3: Connect the blocks into a network structure
Brandon Rohrer Beginner 5y ago
Build a 1D convolutional neural network , part 2: Collect the Cottonwood blocks
ML Fundamentals ⚡ AI Lesson
Build a 1D convolutional neural network , part 2: Collect the Cottonwood blocks
Brandon Rohrer Beginner 5y ago
Build a 1D convolutional neural network, part 1: Create a test data set
ML Fundamentals
Build a 1D convolutional neural network, part 1: Create a test data set
Brandon Rohrer Beginner 5y ago
Implement 1D convolution, part 7: Weight gradient and input gradient
ML Fundamentals
Implement 1D convolution, part 7: Weight gradient and input gradient
Brandon Rohrer Beginner 5y ago
Implement 1D convolution, part 6: Multi-channel, multi-kernel convolutions
ML Fundamentals
Implement 1D convolution, part 6: Multi-channel, multi-kernel convolutions
Brandon Rohrer Beginner 5y ago
Implement 1D convolution, part 5: Forward and backward pass
ML Fundamentals ⚡ AI Lesson
Implement 1D convolution, part 5: Forward and backward pass
Brandon Rohrer Beginner 5y ago
Implement 1D convolution, part 4: Initialize the convolution block
ML Fundamentals ⚡ AI Lesson
Implement 1D convolution, part 4: Initialize the convolution block
Brandon Rohrer Beginner 5y ago
Implement 1D convolution, part 3: Create the convolution block
ML Fundamentals
Implement 1D convolution, part 3: Create the convolution block
Brandon Rohrer Beginner 5y ago
Implement 1D convolution, part 2: Comparison with NumPy convolution()
ML Fundamentals
Implement 1D convolution, part 2: Comparison with NumPy convolution()
Brandon Rohrer Beginner 5y ago
Implement 1D convolution, part 1: Convolution in Python from scratch
ML Fundamentals
Implement 1D convolution, part 1: Convolution in Python from scratch
Brandon Rohrer Advanced 5y ago
L3.5 The Geometric Intuition Behind the Perceptron
ML Fundamentals
L3.5 The Geometric Intuition Behind the Perceptron
Sebastian Raschka Beginner 5y ago
L3.3 Vectorization in Python
ML Fundamentals
L3.3 Vectorization in Python
Sebastian Raschka Beginner 5y ago
L3.4 Perceptron in Python using NumPy and PyTorch
ML Fundamentals
L3.4 Perceptron in Python using NumPy and PyTorch
Sebastian Raschka Beginner 5y ago
L3.2 The Perceptron Learning Rule
ML Fundamentals
L3.2 The Perceptron Learning Rule
Sebastian Raschka Beginner 5y ago
L3.0 Perceptron Lecture Overview
ML Fundamentals
L3.0 Perceptron Lecture Overview
Sebastian Raschka Beginner 5y ago
L2.4 The Deep Learning Hardware & Software Landscape
ML Fundamentals
L2.4 The Deep Learning Hardware & Software Landscape
Sebastian Raschka Beginner 5y ago
L2.3 The Origins of Deep Learning
ML Fundamentals
L2.3 The Origins of Deep Learning
Sebastian Raschka Beginner 5y ago
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TensorFlow for Beginners: Basic Binary Image Classification
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Introduction to Image Generation - Italiano
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Predictive Modeling and Machine Learning with MATLAB
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Analyze and Build Deep Learning Models with TensorFlow
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Analyze and Build Deep Learning Models with TensorFlow
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ML Pipelines on Google Cloud - Français
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ML Pipelines on Google Cloud - Français
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