Convolutional Networks Courses and Certifications

Time Series Forecasting with GRUs

Master GRU-based time series forecasting with TensorFlow, covering bidirectional models, attention mechanisms, and hybrid CNN-GRU architectures for multivariate data prediction.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Principles of Artificial Intelligence

Explore AI fundamentals, machine learning, neural networks, NLP, computer vision, and ethical considerations through hands-on projects and interactive workshops.

• OpenLearning
• Self-Paced
• Paid Course

Time Series Forecasting with GRUs

Master GRU-based time series forecasting in PyTorch with bidirectional networks, attention mechanisms, and hybrid CNN-GRU models for multivariate data prediction and evaluation.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Sequences, Time Series and Prediction

5162 ratings at Coursera

Course 4 of the deeplearning.ai TensorFlow Specialization will teach you how to solve time series and forecasting problems using RNNs, ConvNets, and the WaveNet architecture.

• Coursera
• 21 hours 43 minutes
• Self-Paced
• Paid Course

Career Certificate

IBM Deep Learning with PyTorch, Keras and Tensorflow

4247 ratings at Coursera

Master deep learning fundamentals and practical implementation using PyTorch, Keras, and TensorFlow through hands-on projects in neural networks, computer vision, and natural language processing.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

AI for Medical Diagnosis

2071 ratings at Coursera

In this course, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders.

• Coursera
• 20 hours 15 minutes
• Self-Paced
• Paid Course

Deep Learning with Keras and Tensorflow

1034 ratings at Coursera

Discover hidden structures in unstructured data using TensorFlow. Learn to build and apply deep learning models for various data types to solve real-world problems.

• Coursera
• 23 hours 21 minutes
• Self-Paced
• Paid Course

Visual Perception for Self-Driving Cars

586 ratings at Coursera

Explore visual perception for autonomous vehicles, covering camera models, feature detection, neural networks, object detection, and semantic segmentation. Gain practical skills for developing self-driving car perception systems.

• Coursera
• 1 day 7 hours 20 minutes
• Self-Paced
• Paid Course

Career Certificate

Foundations of Neural Networks

24 ratings at Coursera

Master advanced neural network concepts, from foundational theory to practical implementation in Python, while exploring ethical considerations in AI system development.

• Coursera
• 12 weeks, 4 hours/week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

Applied Machine Learning

16 ratings at Coursera

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Introduction to Neural Networks

10 ratings at Coursera

Master foundational concepts of neural networks, from basic mathematics to advanced architectures like CNNs. Build practical skills in deep learning, optimization techniques, and model training through hands-on experience.

• Coursera
• 18 hours 20 minutes
• Self-Paced
• Paid Course

Mastering Neural Networks and Model Regularization

Dive deep into neural networks, from perceptrons to CNNs. Build models from scratch, master regularization techniques, and apply PyTorch for image and audio processing tasks.

• Coursera
• 16 hours 3 minutes
• Self-Paced
• Paid Course

fast.ai

Practical Deep Learning For Coders

7 ratings

Learn how to get a GPU server online suitable for deep learning— to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

• Independent
• 7 weeks, 10 hours a week
• Self-Paced
• Free Online Course

Introduction to Artificial Intelligence

8868 ratings at Great Learning

Discover the fundamentals of AI, neural networks, and computer vision through practical use cases and real-world applications in this comprehensive introduction.

• Great Learning
• 1 hour 30 minutes
• Self-Paced
• Free Online Course

Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore deep learning methods for healthcare applications, covering embedding, CNNs, RNNs, and autoencoders. Gain practical experience through labs, assignments, and a large project with potential for publication.

• Coursera
• 22 hours
• Self-Paced
• Paid Course