📐 ML Fundamentals

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

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L4.3 Vectors, Matrices, and Broadcasting

ML Fundamentals

L4.3 Vectors, Matrices, and Broadcasting

Sebastian Raschka Beginner 5y ago

L4.2 Tensors in PyTorch

ML Fundamentals

L4.2 Tensors in PyTorch

Sebastian Raschka Beginner 5y ago

Advice on Publishing Machine Learning Papers with MLC's founder Rosanne Liu

ML Fundamentals

Advice on Publishing Machine Learning Papers with MLC's founder Rosanne Liu

Weights & Biases Advanced 5y ago

What the Heck is Bayesian Stats ?? : Data Science Basics

ML Fundamentals

What the Heck is Bayesian Stats ?? : Data Science Basics

ritvikmath Beginner 5y ago

How does a Data Scientist Fight FRAUD?

ML Fundamentals ⚡ AI Lesson

How does a Data Scientist Fight FRAUD?

CodeEmporium Beginner 5y ago

Push Notifications from Jupyter Notebook after Code Execution [Python for Data Science]

ML Fundamentals

Push Notifications from Jupyter Notebook after Code Execution [Python for Data Science]

1littlecoder Beginner 5y ago

The SoftMax Derivative, Step-by-Step!!!

ML Fundamentals

The SoftMax Derivative, Step-by-Step!!!

StatQuest with Josh Starmer Beginner 5y ago

Neural Networks Part 5: ArgMax and SoftMax

ML Fundamentals

Neural Networks Part 5: ArgMax and SoftMax

StatQuest with Josh Starmer Beginner 5y ago

Building a recommendation system using deep learning

ML Fundamentals

Building a recommendation system using deep learning

Abhishek Thakur 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

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

L4.1 Tensors in Deep Learning

ML Fundamentals

L4.1 Tensors in Deep Learning

Sebastian Raschka Beginner 5y ago

L4.0 Linear Algebra for Deep Learning -- Lecture Overview

ML Fundamentals

L4.0 Linear Algebra for Deep Learning -- Lecture Overview

Sebastian Raschka Beginner 5y ago

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 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

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

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

L3.1 About Brains and Neurons

ML Fundamentals

L3.1 About Brains and Neurons

Sebastian Raschka Beginner 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