Convolutional Networks Courses and Certifications

Derek Banas

Convolutional Neural Networks with TensorFlow 2022

Comprehensive live-coding tutorial on Convolutional Neural Networks using TensorFlow, covering data preparation, model architecture, optimization techniques, and practical applications in image recognition and object detection.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

5 Minutes Engineering

Machine Learning and Neural Networks: Convolutional Neural Networks - Day 15

Explore Convolutional Neural Networks (CNN) in machine learning, understanding their architecture and applications in image processing and computer vision.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Pascal Poupart

Convolutional Neural Networks

Explore convolutional neural networks, from basic concepts to advanced architectures, including edge detection, pooling, and feature maps for image recognition tasks.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Data Science Dojo

Introduction to Convolutional Neural Networks with TensorFlow

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.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Alexander Amini

Convolutional Neural Networks for Computer Vision - MIT 6.S191 Lecture 3

Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications in object detection and self-driving cars.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

Data Science Courses

Deep Learning: Convolutional Neural Networks and CNN Architecture - Lecture 6

Dive into the fundamentals of Convolutional Neural Networks (CNNs), exploring convolution operations, cross-correlation techniques, and pooling layers for advanced deep learning applications.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Alexander Amini

Convolutional Neural Networks

Explore convolutional neural networks for computer vision, covering feature extraction, convolution operations, and applications like object detection and self-driving cars.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Alexander Amini

Convolutional Neural Networks for Computer Vision - MIT 6.S191 Lecture 3

Dive into convolutional neural networks for computer vision with MIT's deep learning lecture, covering essential concepts and applications in this field.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Neural Breakdown with AVB

Understanding and Visualizing How Convolutional Neural Networks Learn

Dive into the inner workings of Convolutional Neural Networks through detailed visualizations and animations, understanding their mechanisms, learning process, and success in computer vision applications.

• YouTube
• 20 minutes
• Self-Paced
• Free Video

Complete Data Science,Machine Learning,DL,NLP Bootcamp

24375 ratings at Udemy

Master the theory, practice,and math behind Data Science,Machine Learning,Deep Learning,NLP with end to end projects

• Udemy
• 4 days 3 hours 10 minutes
• Self-Paced
• Paid Course

Introduction to Convolutional Neural Networks - Part I - Lecture 8

1 rating

Introduction to convolutional neural networks, covering architecture, applications in computer vision and natural language processing, with examples like AlexNet and super-resolution techniques.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Complete Guide to TensorFlow for Deep Learning with Python

17101 ratings at Udemy

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!

• Udemy
• 14 hours 10 minutes
• Self-Paced
• Paid Course

Deep Learning for Computer Vision - Building Convolutional Neural Networks from Scratch - Lecture 3

Master building convolutional neural networks from scratch for computer vision applications through hands-on implementation in Google Colab with MIT's practical approach.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Convolutional Neural Networks - Architectures for Grid Data - Lecture 4

Explore convolutional neural networks and their effectiveness for grid-based data structures in this MIT deep learning lecture.

• YouTube
• 1 hour 24 minutes
• Self-Paced
• Free Video

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

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.

• YouTube
• 36 minutes
• Self-Paced
• Free Video