Deep Learning

Build a Python Facial Recognition App with Tensorflow and Kivy

Pete Warden — Practical Applications of TinyML

Announcing Google's Machine Learning Virtual Community Day

PyTorch Book Reading - 5. CT Scans & PyTorch

PyTorch Community Voices | AI Model Efficiency Toolkit (AIMET) | Abhijit and Chirag

Build a Deep Facial Recognition App // Part 3 - Preparing Data for Deep Learning // TF Dataloader

GNN Project #4.3 - Code explanation

Intelligent Telegram AI Classifies Images in Python

Neural Network Python Project - Handwritten Digit Recognition

PyTorch Community Voices | PyTorch Lightning | William Falcon & Thomas Chaton

GNN Project #4.1 - Graph Variational Autoencoders

Day 2 Talks: JAX, Flax & Transformers 🤗

Chapter 3 live sessions with Lewis (PyTorch)

Max Pooling in Deep Learning - Interactive Demo App

Twitter Sentiment Emotion Phrase Extractor - Flask + Pytorch + Hugging Face - Open Source App Demo

CVPR 2021 Oral: A Recurrent Vision and Language BERT for Navigation

Convolutions in Deep Learning - Interactive Demo App

Building trusted AI products | Workshop

Our Response to CNN - Blog Readers AREN'T Wrong

L10.5.3 (Optional) Dropout Ensemble Interpretation

L10.5.2 Dropout Co-Adaptation Interpretation

Metric Learning for Images - Keras Code Examples

How to Build Q&A Models in Python (Transformers)

OCR model for reading Captchas - Keras Code Examples

Build a 2D convolutional neural network, part 17: Cottonwood cheatsheet

Build a 2D convolutional neural network, part 16: Cottonwood code tour

Live Coding Session on ResNet

Build a Deep Facial Recognition App // Part 2 Collecting Data // Deep Learning Project Tutorial

Build a Deep Facial Recognition App from Paper to Code // Part 1 // Deep Learning Project Tutorial

The push to hub API

Preprocessing sentence pairs (TensorFlow)

Preprocessing sentence pairs (PyTorch)

Anomaly detection with TensorFlow | Workshop

Tensorflow Object Detection in 5 Hours with Python | Full Course with 3 Projects

L10.5.1 The Main Concept Behind Dropout

Web/Mobile Applications Winners, 2020 PyTorch Summer Hackathon Winners

Keras Tuner with Google Cloud Compute - Keras Examples

Speech Command Recognition With Tensorflow.JS and React.JS | Javascript AI

Build a 2D convolutional neural network, part 15: Rendering examples

Build a 2D convolutional neural network, part 14: Collecting examples

Build a 2D convolutional neural network, part 13: Loss history and text summary

Build a 2D convolutional neural network, part 12: Testing loop

Build a 2D convolutional neural network, part 11: The training loop

Build a 2D convolutional neural network, part 10: Connecting layers

Build a 2D convolutional neural network, part 9: Adding layers

Build a 2D convolutional neural network, part 8: Training code setup

Build a 2D convolutional neural network, part 7: Why Cottonwood?

Build a 2D convolutional neural network, part 6: Examples of successes and failures