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    Neural Networks

    2 482 курсов
    Backpropagation
    Capsule Networks
    ControlNet
    Convolutional Neural Networks (CNN)
    Feedforward Neural Networks
    Generative Adversarial Networks (GAN)
    Graph Neural Networks (GNN)
    Multilayer Perceptron
    Multilayer Perceptrons
    Neural Network Architecture
    Recurrent Neural Networks (RNN)
    Variational Autoencoder (VAE)
    Machine Learning and Neural Networks: Decision Trees - Day 10
    5 Minutes Engineering

    Machine Learning and Neural Networks: Decision Trees - Day 10

    Machine Learning and Neural Networks: Logistic Regression - Day 6
    5 Minutes Engineering

    Machine Learning and Neural Networks: Logistic Regression - Day 6

    Machine Learning and Neural Networks: Simple and Multiple Linear Regression - Day 5
    5 Minutes Engineering

    Machine Learning and Neural Networks: Simple and Multiple Linear Regression - Day 5

    Training and Testing Data in Machine Learning and Neural Networks - Day 4
    5 Minutes Engineering

    Training and Testing Data in Machine Learning and Neural Networks - Day 4

    Machine Learning and Neural Networks: Data Preprocessing Techniques - Day 3
    5 Minutes Engineering

    Machine Learning and Neural Networks: Data Preprocessing Techniques - Day 3

    Deep Learning Applications by Rina Panigrahy
    International Centre for Theoretical Sciences

    Deep Learning Applications by Rina Panigrahy

    Deep Decoder: Concise Image Representations from Untrained Networks - Lecture 2
    International Centre for Theoretical Sciences

    Deep Decoder: Concise Image Representations from Untrained Networks - Lecture 2

    Toward Theoretical Understanding of Deep Learning - Lecture 2
    International Centre for Theoretical Sciences

    Toward Theoretical Understanding of Deep Learning - Lecture 2

    Mathematics of Machine Learning: An Introduction - Lecture 1
    International Centre for Theoretical Sciences

    Mathematics of Machine Learning: An Introduction - Lecture 1

    Model-Based Deep Learning: Deep Equilibrium Models and Proximal Gradient Maps
    IEEE Signal Processing Society

    Model-Based Deep Learning: Deep Equilibrium Models and Proximal Gradient Maps

    Computational Imaging Systems and Optical Design - Webinar
    IEEE Signal Processing Society

    Computational Imaging Systems and Optical Design - Webinar

    How to Restore and Colorize Old Photos with AI - Stable Diffusion + ControlNet Tutorial
    Albert Bozesan

    How to Restore and Colorize Old Photos with AI - Stable Diffusion + ControlNet Tutorial

    All Things VQGAN - VQ-VAE and GAN with Transformers and Codebook Interaction
    Prodramp

    All Things VQGAN - VQ-VAE and GAN with Transformers and Codebook Interaction

    Text to Image AI Models - Different Methodologies and How It Works
    Prodramp

    Text to Image AI Models - Different Methodologies and How It Works

    The Complete Guide to Transformer Neural Networks
    CodeEmporium

    The Complete Guide to Transformer Neural Networks

    An AI Engineer's Guide to Machine Learning with Keras
    Prodramp

    An AI Engineer's Guide to Machine Learning with Keras

    Method for Video to AI Animation - After Effects & Stable Diffusion Control Net
    Max Novak

    Method for Video to AI Animation - After Effects & Stable Diffusion Control Net

    Conversational AI with Jarvis - Checking Out the API
    sentdex

    Conversational AI with Jarvis - Checking Out the API

    Deep Learning Chatbot R&D
    sentdex

    Deep Learning Chatbot R&D

    Facial Recognition on Video with Python
    sentdex

    Facial Recognition on Video with Python

    Deep Learning with Neural Networks and TensorFlow
    sentdex

    Deep Learning with Neural Networks and TensorFlow