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#Convolutional Neural Networks (CNN)

Showing: 53 courses
Stanford University

Convolutional Neural Networks for Visual Recognition

5 rewiews
This lecture collection is a deep dive into details of the deep learning architectures with a focus on learning end-to-end models for these tasks, particularly image classification.
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16 Lesons
20 hours
On-Demand
Free-Video
Brandon Rohrer

How Convolutional Neural Networks Work

1 rewiews
Explore the inner workings of Convolutional Neural Networks, from basic concepts to advanced techniques, in this comprehensive guided tour of deep learning architecture.
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11 Lesons
26 minutes
On-Demand
Free-Video
University of Central Florida

CAP5415 - Introduction to Convolutional Neural Networks Part 2 - Lecture 6

0 rewiews
Explore convolutional neural networks' architecture, layers, and features. Learn about AlexNet, pooling, normalization, and the progression from low-level to complex features in deep learning.
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19 Lesons
36 minutes
On-Demand
Free-Video

Deep Learning With TensorFlow

0 rewiews
Learn TensorFlow basics, deep learning concepts, and practical applications through comprehensive tutorials and hands-on projects. Explore neural networks, computer vision, and natural language processing.
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54 Lesons
1 day 8 hours
On-Demand
Free-Video

Complete Deep Learning

0 rewiews
Comprehensive deep learning course covering neural networks, CNN, RNN, LSTM, and advanced topics with hands-on tutorials and practical implementations.
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88 Lesons
1 day 6 hours
On-Demand
Free-Video
Coding Train

Convolutional Neural Networks with ML5.js

0 rewiews
Explore Convolutional Neural Networks using ml5.js, covering setup, algorithms, max pooling, and architectures. Gain hands-on coding experience in this comprehensive tutorial.
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11 Lesons
3 hours 14 minutes
On-Demand
Free-Video
Coding Train

Convolutional Neural Networks with ml5.js

0 rewiews
Explore convolutional neural networks using ml5.js, covering setup, coding, model training, and classifier testing in this hands-on tutorial for machine learning enthusiasts.
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12 Lesons
4 hours
On-Demand
Free-Video

Neural Networks Examples in MATLAB

0 rewiews
Explore practical applications of neural networks in MATLAB, including image processing, classification, and prediction tasks using various deep learning architectures.
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9 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Augmented Startups

Mask R-CNN - Practical Deep Learning Instance Segmentation Tutorials

0 rewiews
Learn to implement and train Mask R-CNN for instance segmentation using OpenCV and Python, covering installation, real-time applications, and custom object detection like potholes.
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8 Lesons
30 minutes
On-Demand
Free-Video
Data Science Dojo

Introduction to Convolutional Neural Networks with TensorFlow

0 rewiews
Learn to build and implement convolutional neural networks for image classification using TensorFlow. Gain hands-on experience in deep learning techniques for computer vision tasks.
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6 Lesons
1 hour 3 minutes
On-Demand
Free-Video
Python Engineer

TensorFlow 2 Beginner Course

0 rewiews
Comprehensive introduction to TensorFlow 2.0 and Keras, covering key concepts and practical applications in deep learning through hands-on projects and real-world examples.
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12 Lesons
3 hours 19 minutes
On-Demand
Free-Video
DigitalSreeni

Malarial Cell Classification Using CNN

0 rewiews
Learn to classify malarial cells using CNN in Python. Covers dataset acquisition, TensorFlow setup, network design, and result analysis for detecting parasitized and healthy cells.
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9 Lesons
49 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

0 rewiews
Explore convolutional neural networks for computer vision, covering feature extraction, network architecture, and real-world applications like self-driving cars in this comprehensive lecture.
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10 Lesons
37 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

0 rewiews
Explore convolutional neural networks for computer vision tasks, covering feature extraction, convolution operations, and applications in classification, segmentation, and image captioning.
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30 Lesons
41 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

0 rewiews
Explore deep learning for computer vision, covering CNNs, object detection, and image segmentation. Learn about architectures, applications, and impacts in various fields.
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35 Lesons
35 minutes
On-Demand
Free-Video
Brandon Rohrer

How Convolution Works

0 rewiews
Guided tour of 2D convolution for CNNs and image processing, covering element-wise operations, feature detection, kernels, and practical applications.
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10 Lesons
20 minutes
On-Demand
Free-Video
Brandon Rohrer

How Convolutional Neural Networks Work, in Depth

0 rewiews
Comprehensive exploration of convolutional neural networks, covering their structure, operation, and training process, including key concepts like filtering, pooling, and backpropagation.
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24 Lesons
1 hour 1 minute
On-Demand
Free-Video
IEEE

Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification

0 rewiews
Explores deep learning models for malware classification, analyzing learned features from byte-level to end-to-end, connecting activations to binary semantics, and examining impacts of training data and regularization.
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16 Lesons
28 minutes
On-Demand
Free-Video
Yannic Kilcher

Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs - Paper Explained

0 rewiews
Explores how predictive coding can approximate backpropagation in neural networks, bridging neuroscience and machine learning. Discusses implications for biologically plausible deep learning algorithms.
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9 Lesons
48 minutes
On-Demand
Free-Video
Alan Turing Institute

Fluid Mechanics-Informed Machine Learning - Successes and Failures

0 rewiews
Explore machine learning approaches for fluid mechanics simulations, including physics-based features and CNNs, with insights on successes and challenges in speeding up predictions.
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1 Lesons
1 hour 8 minutes
On-Demand
Free-Video
Pysource

Train Mask R-CNN for Image Segmentation

0 rewiews
Learn to train and implement Mask R-CNN for image segmentation using free online GPU resources. Covers dataset preparation, model training, and practical application for object detection and segmentation.
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5 Lesons
34 minutes
On-Demand
Free-Video
Aleksa Gordić - The AI Epiphany

Do Vision Transformers See Like Convolutional Neural Networks - Paper Explained

0 rewiews
Explore the differences between Vision Transformers and CNNs, examining feature learning, receptive fields, data impact, and architectural elements for a deeper understanding of these AI models.
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10 Lesons
35 minutes
On-Demand
Free-Video
Yannic Kilcher

ImageNet Classification with Deep Convolutional Neural Networks - Paper Explained

0 rewiews
Detailed explanation of AlexNet, the groundbreaking deep convolutional neural network that revolutionized computer vision and kickstarted the deep learning era in image classification.
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14 Lesons
46 minutes
On-Demand
Free-Video
Nicholas Renotte

Build a Deep CNN Image Classifier with Any Images

0 rewiews
Learn to build a custom deep CNN image classifier from scratch using Python, TensorFlow, and Keras. Covers data pipeline, preprocessing, network building, training, evaluation, and model saving.
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19 Lesons
1 hour 25 minutes
On-Demand
Free-Video
Nicholas Renotte

Build a Deep Audio Classifier with Python and Tensorflow

0 rewiews
Learn to build a deep audio classifier using Python and TensorFlow, covering data loading, preprocessing, model creation, and prediction for audio classification tasks.
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19 Lesons
1 hour 17 minutes
On-Demand
Free-Video
rupert ai

Implementing a Multi-Class CNN Image Classifier in Pytorch - Computer Vision Basics Ep. 3 CIFAR10 CNN

0 rewiews
Learn to build a CNN image classifier using PyTorch and CIFAR10 dataset. Covers data loading, model architecture, training, and validation, with practical coding examples for computer vision enthusiasts.
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6 Lesons
27 minutes
On-Demand
Free-Video
Keith Galli

Real-World Python Neural Nets Tutorial - Image Classification with CNN - Tensorflow & Keras

0 rewiews
Learn to build and train a CNN for image classification using TensorFlow and Keras. Covers data preparation, model improvement, hyperparameter tuning, and practical applications in Python.
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15 Lesons
1 hour 1 minute
On-Demand
Free-Video
James Briggs

Convolutional Neural Nets Explained and Implemented in Python - PyTorch

0 rewiews
Comprehensive guide to Convolutional Neural Networks: theory, implementation, and practical applications using Python and PyTorch for computer vision tasks like image classification.
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16 Lesons
35 minutes
On-Demand
Free-Video
Launchpad

CNN Explainer - Learning Convolutional Neural Networks with Interactive Visualization

0 rewiews
Interactive visualization tool for understanding convolutional neural networks, covering layers, filters, padding, activation, and pooling. Enhances learning through hands-on exploration.
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12 Lesons
25 minutes
On-Demand
Free-Video
Krish Naik

Alexnet Architecture In-Depth Discussion Along With Code - Deep Learning Advanced CNN

0 rewiews
In-depth exploration of AlexNet architecture, including mathematical operations, layers, and implementation code for advanced deep learning and convolutional neural networks.
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12 Lesons
23 minutes
On-Demand
Free-Video
Graham Neubig

Neural Nets for NLP - Structured Prediction with Local Independence Assumptions

0 rewiews
Explore structured prediction in NLP using local independence assumptions and conditional random fields. Learn about sequence labeling, globally normalized models, and advanced training techniques.
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26 Lesons
56 minutes
On-Demand
Free-Video
Alfredo Canziani

Deep Learning for Natural Language Processing

0 rewiews
Explore NLP architectures, transformers, language models, and advanced techniques for text generation and embedding learning in this comprehensive deep learning lecture.
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7 Lesons
1 hour 41 minutes
On-Demand
Free-Video
Alfredo Canziani

Convolutional Neural Networks

0 rewiews
Explore convolutional neural networks, from basic concepts to modern implementations. Learn about kernels, biological inspirations, CNN evolution, and their advantages in image processing and feature extraction.
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7 Lesons
1 hour 38 minutes
On-Demand
Free-Video
Launchpad

Exploring the Origins and Prevalence of Texture Bias in Convolutional Neural Networks

0 rewiews
Explore texture bias in CNNs: origins, prevalence, and implications. Examine dataset influence, training objectives, and model architectures to understand and mitigate this phenomenon in computer vision.
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13 Lesons
26 minutes
On-Demand
Free-Video
Abhishek Thakur

Captcha Recognition Using PyTorch - Convolutional-RNN + CTC Loss

0 rewiews
Learn to implement a Convolutional-RNN model for captcha recognition using PyTorch. Covers data preparation, model architecture, CTC loss, and training/inference processes.
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9 Lesons
1 hour 17 minutes
On-Demand
Free-Video
Databricks

Benchmarks and How-Tos for Convolutional Neural Networks on HorovodRunner-Enabled Apache Spark Clusters

0 rewiews
Explore benchmarks and implementation techniques for distributed deep learning using HorovodRunner on Apache Spark clusters, focusing on CNN tasks and scaling efficiency for both GPU and CPU clusters.
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11 Lesons
25 minutes
On-Demand
Free-Video
Eran Feit

Convolutional Neural Networks - Deep Learning Basics with Python, TensorFlow and Keras

0 rewiews
Learn to build and train a convolutional neural network for chess piece image classification using Python, TensorFlow, and Keras. Covers dataset preparation, model creation, and prediction testing.
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5 Lesons
41 minutes
On-Demand
Free-Video
Eran Feit

How to Classify Natural Scenes Using Tensorflow, Python, and CNN

0 rewiews
Learn to classify natural scenes using TensorFlow and CNN. Build, train, and test a model for image classification with Python, covering dataset preparation, model creation, and prediction.
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5 Lesons
35 minutes
On-Demand
Free-Video
Eran Feit

Deep Learning in Weather Images - Using TensorFlow and CNN

0 rewiews
Learn to build a CNN model using TensorFlow and Keras to predict weather scenes from images. Covers dataset preparation, model creation, training, and testing.
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5 Lesons
43 minutes
On-Demand
Free-Video
Jeff Heaton

Cloud-Based Convolution Neural Network Ensembles for Computer Vision Counting

0 rewiews
Explore ensemble CNN techniques for computer vision counting, featuring cloud computing evaluation and strategies for achieving low RMSE scores in competitive settings.
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8 Lesons
26 minutes
On-Demand
Free-Video
Jeff Heaton

Keras Convolutional Neural Networks for MNIST and Fashion MNIST

0 rewiews
Explore convolutional neural networks for image processing, focusing on MNIST and Fashion MNIST datasets. Learn about CNN architecture, training, and evaluation for advanced deep learning applications.
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8 Lesons
24 minutes
On-Demand
Free-Video
tinyML

Networks Within Networks - Novel CNN Design Space Exploration for Resource-Limited Devices

0 rewiews
Explore novel CNN design for resource-limited devices using "network within network" paradigm. Learn automated method for compressing neural networks while preserving accuracy and meeting size constraints.
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5 Lesons
31 minutes
On-Demand
Free-Video
Code With Aarohi

InceptionV3 - Inception Network

0 rewiews
Detailed exploration of InceptionV3 architecture, covering its improvements over previous versions, including factorized convolutions, RMSProp optimizer, and label smoothing for enhanced CNN performance.
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11 Lesons
23 minutes
On-Demand
Free-Video
Code With Aarohi

Explained Identity Block and Convolution Block in ResNet - Residual Networks

0 rewiews
Practical explanation of identity and convolutional blocks in ResNet, including line-by-line code breakdown and discussion of residual concepts in deep learning architectures.
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8 Lesons
24 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

0 rewiews
Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications like object detection and self-driving cars.
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13 Lesons
55 minutes
On-Demand
Free-Video
MLCon | Machine Learning Conference

How We Built a Job Recommender SaaS with Deep Learning to Disrupt the Job Market

0 rewiews
Discover how deep learning and modern ML tools were used to create a multilingual job recommender system, revolutionizing job matching for a public employment service.
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16 Lesons
45 minutes
On-Demand
Free-Video
Aladdin Persson

EfficientNet Paper Walkthrough

0 rewiews
Comprehensive walkthrough of the EfficientNet paper, exploring model scaling, proposed methods, and results. Offers insights into innovative approaches for improving neural network efficiency.
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9 Lesons
26 minutes
On-Demand
Free-Video
DigitalSreeni

Pretrained CNN Features for Semantic Segmentation Using Random Forest

0 rewiews
Explore semantic segmentation using VGG16 features and Random Forest, offering improved results for limited training data compared to U-net.
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9 Lesons
22 minutes
On-Demand
Free-Video
Yannic Kilcher

SpineNet - Learning Scale-Permuted Backbone for Recognition and Localization

0 rewiews
Explores SpineNet, a novel CNN architecture using scale-permuted features and cross-scale connections, outperforming traditional models in object detection and classification tasks.
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11 Lesons
36 minutes
On-Demand
Free-Video
Serrano.Academy

A Friendly Introduction to Convolutional Neural Networks and Image Recognition

0 rewiews
Friendly explanation of image recognition using Convolutional Neural Networks, covering basics to advanced concepts. Suitable for beginners, with minimal math required.
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11 Lesons
32 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

0 rewiews
Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications in autonomous navigation and medical imaging.
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25 Lesons
49 minutes
On-Demand
Free-Video
Alexander Amini

Convolutional Neural Networks

0 rewiews
Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications like object detection and self-driving cars.
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13 Lesons
56 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch Image Captioning Tutorial

0 rewiews
Learn to build an image captioning system from scratch using PyTorch, covering CNN and RNN implementation, training setup, and evaluation on the Flickr8k dataset.
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7 Lesons
36 minutes
On-Demand
Free-Video