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100 Best Convolutional Neural Network Videos

Notes:

A convolutional neural network (CNN, or ConvNet) is a type of deep learning neural network that is primarily used for image and video recognition tasks. CNNs are designed to process and analyze data that has a grid-like structure, such as an image. The design of CNNs is inspired by the organization of the animal visual cortex, which is responsible for processing visual information in the brain.

The key feature of a CNN is its use of convolutional layers, which are designed to automatically and adaptively learn spatial hierarchies of features from input images. These layers apply a set of learnable filters to the input image, which scan the image and detect features such as edges, shapes, and textures. The resulting feature maps are then processed by pooling layers, which reduce the spatial dimensions of the feature maps while retaining the most important information.

In addition to the convolutional and pooling layers, CNNs also typically include fully connected layers, which are used to make a final prediction or classification based on the features extracted by the convolutional layers.

CNNs have been successfully applied to a wide range of computer vision tasks, such as object detection, image segmentation, and facial recognition. They have also been used in other fields such as natural language processing, speech recognition and medical imaging.

Wikipedia:

  • Convolutional neural network

See also:

CNN (Convolutional Neural Network) & Dialog Systems 2015 | Neural Network Meta Guide


[266x Apr 2017]

  • How Convolutional Neural Networks work
  • Deep Learning Lecture 10: Convolutional Neural Networks
  • CS231N – Convolutional Neural Networks
  • Convolutional Neural Networks – Ep. 8 (Deep Learning SIMPLIFIED)
  • Convolutional neural networks in 10 minutes
  • “Convolutional Neural Networks in Practice // Cassidy Williams, Clarifai (FirstMark’s Code Driven)”
  • CS231n Winter 2016 Lecture 7 Convolutional Neural Networks LxfUGhug iQ-sHyIqu_S5Ks.mp4
  • TensorFlow Tutorial #02 Convolutional Neural Network
  • CS231n Winter 2016: Lecture 7: Convolutional Neural Networks
  • (3) Convolutional Neural Networks
  • MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
  • “Large-scale Video Classification with Convolutional Neural Networks, CVPR 2014”
  • Artificial and robotic vision – lecture3_1 – convolutional neural networks
  • Convolutional Neural Network with TensorFlow (CIFAR-10)
  • Convolutional Neural Networks with TensorFlow – Deep Learning with Neural Networks 13
  • What convolutional neural networks see
  • Convolutional Neural Networks Basics – Deep Learning withTensorFlow 12
  • HC27-K1: Convolutional Neural Networks
  • CS231n Winter 2016 Lecture 7 Convolutional Neural Networks LxfUGhug iQ-sHyIqu_S5Ks.mp4
  • CS231n Lecture 7 – Convolutional Neural Networks
  • Stanford CS231n: Convolutional Neural Networks for Visual Recognition – Winter 2016
  • ML Lecture 10: Convolutional Neural Network
  • Introduction – 3D Convolutional Neural Network w/ Kaggle Lung Cancer Detection Competiton p.1
  • 6.1 Convolutional Neural Network (CNN) models
  • Tensorflow 18 Convolutional Neural Networks (CNN) (Eng Sub neural network tutorial)
  • Intro and preprocessing – Using Convolutional Neural Network to Identify Dogs vs Cats p. 1
  • Convolutional Neural Networks – Cambridge University Machine Learning
  • Reading Files – 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.2
  • Running the Network – 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.6
  • A friendly introduction to Convolutional Neural Networks and Image Recognition
  • Tensorflow 18 Convolutional Neural Network3 (CNN) (Eng Sub neural network tutorial)
  • Whiteboard Wednesdays – Mapping Convolutional Neural Networks to the Vision P5 DSP
  • Convolutional Neural Networks for Visual Recognition Cs231n course Standford
  • Learning Multi-Domain Convolutional Neural Networks for Visual Tracking (MDNet)
  • Using our Network – Using Convolutional Neural Network to Identify Dogs vs Cats p. 4
  • Speed Sign Recognition by Convolutional Neural Networks
  • using convolutional neural network (CNN) in matlab (MatconvNet)
  • Training – Using Convolutional Neural Network to Identify Dogs vs Cats p. 3
  • Visualizing – 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.3
  • Tutorial on Convolutional Neural Networks(CNNs) for image recognition
  • Self Driving Car AI With Convolutional Neural Networks
  • Developing Training Algorithms for Convolutional Neural Networks
  • Demo Video: Face Recognition — Convolutional Neural Network in Action
  • Pedestrian Detection by Deep Convolutional Neural Network
  • Artificial and robotic vision – lecture3_2 – convolutional neural networks
  • Resizing Data – 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.4
  • Artificial and robotic vision – lecture3_3 – convolutional neural networks details by A. Dundar
  • Building the Network – Using Convolutional Neural Network to Identify Dogs vs Cats p. 2
  • Preprocessing data – 3D Convolutional Neural Network w/ Kaggle and 3D medical imaging p.5
  • Training convolutional neural network for self-driving – Python plays GTA p.11
  • Convolutional Neural Networks in Tensorflow
  • Hand Gesture Detection AI With Convolutional Neural Networks
  • CS224D Lecture 13 – Lectures from 2015 – Convolutional Neural Networks (for NLP).mp4
  • “Ali Ghodsi, Lec 18: Convolutional neural network (Part 2)”
  • Deep Learning for NLP – Lecture 5 – Convolutional Neural Networks
  • Using Convolutional Neural Network to Identify Dogs vs Cats
  • Computer Vision – Convolutional Neural Networks (Arabic)
  • 8-1. Convolutional Neural Network 
  • Lecture 7 Convolutional Neural Networks
  • Speed Sign Recognition by Convolutional Neural Networks 2
  • Introduction to Deep Learning: What Are Convolutional Neural Networks?
  • What convolutional neural networks look at when they look at nudity
  • Digit recognition on iPhone using Convolutional Neural Network
  • Convolutional neural network train and test 
  • Car License Plates Localization with Convolutional Neural Network
  • Convolutional Neural Network Part-1
  • “[AI – 6] [DL – 2] Convolutional Neural Network (CNN, ConvNet)”
  • SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks
  • Image Style Transfer Using Convolutional Neural Networks
  • Facebook’s Yann LeCun Discusses Vision in Convolutional Neural Networks (Preview)
  • Convolutional Neural Networks (CNN) in Keras – Python
  • ml4a @ itp nyu :: 03 convolutional neural networks
  • 20150518 MLDM Monday – Convolutional Neural Network From the Ground Up
  • Audio Source Separation Using Convolutional Neural Networks Demo
  • MLG 16/09/2015 – Introduction to convolutional neural networks by Laura Mannie Corbisier
  • Convolutional Neural Network OCR
  • Convolutional Neural Network IP Part 1
  • Expression recognition with a convolutional neural network
  • Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
  • Convolutional Neural Network Driving in GTA 5
  • T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
  • Fast Algorithms for Convolutional Neural Networks by Andrew Lavin and Scott Gray
  • Convolutional Neural Network Part-2
  • Brain Tumor Segmentation using Convolutional Neural Networks in MRI Images|ece projects at bangalore
  • SROP 2013: Convolutional Neural Networks for Vehicle Detection
  • Yann LeCun Lecture 4/8 Convolutional Neural Networks
  • Convolutional Neural Networks
  • Road Detection using Convolutional Neural Networks
  • Deep Learning: Convolutional Neural Networks in Python
  • Deep Learning – Convolutional Neural Networks – Architectural Zoo – Christian S. Perone
  • Convolutional Neural Networks Visualization
  • Exploiting Fully Convolutional Neural Networks for Fast Road Detection
  • Convolutional Neural Network Part-3
  • Convolutional neural network exercise 
  • #4 Convolutional Neural Networks for Natural Language Processing
  • Convolutional Neural Network for text classification UNAL 2014 NLP
  • Lecture 13: Convolutional Neural Networks
  • “Gesture Recognition using Convolutional Neural Networks, Ghent University”
  • Brain Tumor Segmentation using Convolutional Neural Networks in MRI Images
  • SigOpt + TensorFlow Efficiently building a Convolutional Neural Network

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