Old Search System: convolution




  • Deep Learning : Convolutional Neural Networks With Python

    https://www.udemy.com/course/convolutional-neural-networks-with-python/ Deep Learning and Computer Vision using Convolutional Neural Networks with Python, Pytorch. Train, Test,...


    What you\'ll learn
    Deep Convolutional Neural Networks with Python and Pytorch Basics to Expert
    Introduction to Deep Learning and its Building Blocks Artificial Neurons
    Define Convolutional Neural Network Architecture from Scratch with Python and Pytorch
    Hyperparameters Optimization For Convolutional Neural Networks to Improve Model Performance
    Custom Datasets with Augmentations to Increase Image Data Variability
    Training and...


  • AI Workshop: Hands-on with GANs with Deep Convolutional Networks

    https://www.linkedin.com/learning/ai-workshop-hands-on-with-gans-with-deep-convolutional-networksIf you're looking for hands-on AI practice, this workshop-style coding course was designed for you....


    Explore the core components of convolutional and pooling layers, including setting up Google Colab cloud-hosted notebooks, transforming multichannel images to tensors, applying layers, and viewing filter effects. Janani covers the basics of training a discriminator as a classification model and training a deep convolutional GAN like a pro, from setting...


  • Udemy - Deep Convolutional Generative Adversarial Networks (DCGAN)

    Udemy - Deep Convolutional Generative Adversarial Networks (DCGAN) Language: English (US) Learn to create Generative...


    Generative Adversarial Networks (GANs) & Deep Convolutional Generative Adversarial Networks (DCGAN) are one of the most interesting and trending ideas in computer science today. Two models are trained simultaneously by an adversarial process. A generator , learns to create images that look real, while a discriminator learns to tell real...


  • Ableton Convolution Reverb v1.5 For Max For Live

    Ableton Convolution Reverb v1.5 For Max For Live | ALP | 242 MB Convolution Reverb...


    A convolution reverb takes a sample from a real-world space (called an impulse response or IR) and uses this to digitally simulate the reverberation of that space. \"Only a convolution reverb can capture the ambience of a real space, or real hardware, and recreate it on a computer,\" explains Ableton...


  • Deep Learning and Convolutional Neural Networks for Medical Image Computing (True EPUB)

    English | EPUB | 2017 | 327 Pages | ISBN : 3319429981 | 9.23 MB


    This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and sntation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples....


  • Guide to Convolutional Neural Networks A Practical Application to Traffic-Sign Detection and Classification

    English | PDF | 2017 | 303 Pages | ISBN : 331957549X | 13.62 MB


    This must-read text/reference introduces the fundamental concepts of convolutional neural networks (ConvNets), offering practical guidance on using libraries to implement ConvNets in applications of traffic sign detection and classification. The work presents techniques for optimizing the computational efficiency of ConvNets, as well as visualization techniques to better understand the underlying...


  • Neural Networks and Convolutional Neural Networks Essential Training

    Duration: 1h 19m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 225...





  • Convolutional Neural Networks Deep Learning

    Published 12/2022Created by Sujithkumar MAMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2...


    Understand the basics and types of 2D Signals (Images) Understand and implement the process of convolution Learn and implement the Convolutional neural networks for any real applications Review the fundamentals of deep learning No prior experience is needed. But a little bit of Python and Machine learning knowledge will make...


  • Deep Learning CNN: Convolutional Neural Networks with Python

    Deep Learning CNN: Convolutional Neural Networks with Python https://www.udemy.com/course/deep-learning-convolutional-neural-networks-theano-tensorflow/ Tensorflow 2 CNNs for Computer Vision,...


    Learn about one of the most powerful Deep Learning architectures yet! The Convolutional Neural Network (CNN) has been used to obtain state-of-the-art results in computer vision tasks such as object detection, image segmentation, and generating photo-realistic images of people and things that don't exist in the real world! This course...


  • The Complete Convolutional Neural Network with Python 2022

    The Complete Convolutional Neural Network with Python 2022 https://www.udemy.com/course/la-hoang-quy-complete-convolutional-neural-network-with-python-2022/ Deep Learning Convolutional Neural Network (CNN)...


    Interested in the field of Machine Learning, Deep Learning, and Artificial Intelligence? Then this course is for you! This course has been designed by a software engineer. I hope with the experience and knowledge I did gain throughout the years, I can share my knowledge and help you learn complex...


  • Ableton Convolution Reverb v1.4 For Max For Live

    Ableton Convolution Reverb v1.4 For Max For LiveGbR | 02 May 2022 | 310MBConvolution Reverb...


    A convolution reverb takes a sample from a real-world space (called an impulse response or IR) and uses this to digitally simulate the reverberation of that space. \"Only a convolution reverb can capture the ambience of a real space, or real hardware, and recreate it on a computer,\" explains Ableton...


  • Convolution Equations and Singular Integral Operators: Selected Papers (Operator Theory: Advances and Applications (206))

    Convolution Equations and Singular Integral Operators: Selected Papers (Operator Theory: Advances and Applications (206)) 240...





  • Convolution Operators on Groups (Lecture Notes of the Unione Matematica Italiana (11))

    Convolution Operators on Groups (Lecture Notes of the Unione Matematica Italiana (11)) 183 pages |...





  • Approximation of Additive Convolution-Like Operators: Real C*-Algebra Approach (Frontiers in Mathematics)

    Approximation of Additive Convolution-Like Operators: Real C*-Algebra Approach (Frontiers in Mathematics) 318 pages | English...





  • Oreilly - Understanding Convolutional Neural Networks (CNNs)

    Oreilly - Understanding Convolutional Neural Networks (CNNs) by Nell Watson | Released July 2017 |...


    Convolutional neural networks (CNNs) enable very powerful deep learning based techniques for processing, generating, and sensemaking of visual information. These are revolutionary techniques in computer vision that impact technologies ranging from e-commerce to self-driving cars. This course offers an in-depth examination of CNNs, their fundamental processes, their applications, and their...


  • Oreilly - Practical Convolutional Neural Networks

    Oreilly - Practical Convolutional Neural Networks by Md. Rezaul Karim, Mohit Sewak, Pradeep Pujari |...


    Tackle all CNN-related queries with this fast-paced guideAbout This VideoFast-paced guide with use cases and real-world examples to help you master CNN techniquesImplement CNN models on image classification, transfer learning, object detection, instance segmentation, GANs, and moreImplement powerful use-cases such as image captioning, reinforcement learning for hard attention, and recurrent...


  • Lynda - Neural Networks and Convolutional Neural Networks Essential Training

    Lynda - Neural Networks and Convolutional Neural Networks Essential Training Take a deep dive into...


    Table of ContentsIntroduction1. Introduction to Neural Networks2. Components of Neural Networks3. Neural Network Implementation in Keras4. Convolutional Neural Networks5. Convolutional Neural Networks in Keras6. Enhancements to Convolutional Neural Networks (CNNs)7. ImageNetConclusion


  • Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets (Advances in Computer Vision and Pattern Recognition)

    Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and...





  • Udemy - Fundamentals of Image convolutions

    Udemy - Fundamentals of Image convolutions https://www.udemy.com/course/fundamentals-of-image-convolutions/ Course Description


    Description Learn to process images by learning fundamentals of image convolutions using opencv and popular programming language Python.Build a strong foundation in Image Processingwith this tutorial for beginners.Understanding of how images are processed as array of RGBpixel intensitiesLearn basics of convolutions using kernelsLeverage OpenCV and Python to perform convolution to...


  • Deep Learning Pytorch with Convolutional Neural Networks

    Deep Learning Pytorch with Convolutional Neural Networks MP4 | Video: h264, 1280x720 | Audio: AAC,...


    What you\'ll learn
    Learn to Work with PyTorch
    Convolutional Neural Networks with Torch Library
    Build Intuition on Convolution Operation on Images
    Learn to Implement LeNet Architecture on CIFAR10 dataset which has 60000 images
    Requirements
    Basic Machine learning with Python Programming Language
    Description
    With the Deep learning making the breakthrough in...

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