Feedforward Neural Networks Courses and Certifications

Deep Neural Networks with PyTorch

1608 ratings at Coursera

Learn to develop deep learning models with PyTorch in a 7-week course by IBM. Covers linear regression, neural networks, convolutional networks, transfer learning, and more.

• Coursera
• 1 day 6 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

NPTEL;  IIT Ropar

Deep Learning

In this course, we will learn about the building blocks used in these Deep Learning based solutions. Specifically, we will learn about feedforward neural networks, convolutional neural networks, recurrent neural networks and attention mechanisms.

• YouTube
• 1 day 3 hours
• On-Demand
• Free Online Course

IIT Ropar;  NPTEL

Deep Learning - IIT Ropar

Learn deep learning fundamentals with IIT Ropar. Explore neural networks, optimization algorithms, and architectures for Vision and NLP tasks. Gain practical skills in CNNs, RNNs, and attention mechanisms over 12 weeks.

• Swayam
• 12 weeks
• 21st Jul, 2024
• Free Online Course

IIT Guwahati;  NPTEL

Machine Learning and Deep Learning - Fundamentals and Applications

Explore machine and deep learning fundamentals with Indian Institute of Technology Guwahati's 12-week course. Learn from Bayesian Classification to modern architectures, solving real-life problems.

• Swayam
• 12 weeks
• 21st Jul, 2024
• Free Online Course

Jay Alammar

The Narrated Transformer Language Model

Explore the Transformer architecture in AI/ML with Jay Alammar's visual presentation, suitable for various levels of ML experience. Learn model training, tokenization, and more in under an hour.

• YouTube
• 30 minutes
• On-Demand
• Free Online Course

MITCBMM

Feedforward and Feedback Processes in Visual Recognition

Explore the limitations of neural networks in visual recognition and learn about a novel deep recurrent network model developed by MITCBMM. Less than 1 hour workload.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

MITCBMM

Connections Between Physics and Deep Learning

Explore the intriguing links between physics and deep learning in this short program by MITCBMM, featuring insights from Max Tegmark.

• YouTube
• 52 minutes
• On-Demand
• Free Online Course

Graham Neubig

CMU Multilingual NLP 2020 - Text Classification and Sequence Labeling

Explore text classification and sequence labeling in multilingual NLP with Graham Neubig. Learn about models, datasets, and neural networks in under an hour.

• YouTube
• 46 minutes
• On-Demand
• Free Online Course

Hausdorff Center for Mathematics

Chad Giusti - Topology, Convexity, and Neural Networks

Explore topology, convexity, and neural networks in a short lecture by Chad Giusti at the Hausdorff Center for Mathematics.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

GOTO Conferences

Composing Bach Chorales Using Deep Learning

Explore the intersection of music and AI with Feynman Liang's GOTO presentation on BachBot, a deep learning tool that composes music in the style of Bach. Less than 1-hour workload.

• YouTube
• 29 minutes
• On-Demand
• Conference Talk

IIT Madras;  NPTEL

Deep Learning Part 1 (IITM)

1 review

Learn deep learning fundamentals with IIT Madras. Explore neural networks, optimization algorithms, and architectures for Vision and NLP tasks. Gain practical skills in CNNs, RNNs, and attention mechanisms over 12 weeks.

• Swayam
• 12 weeks
• Finished
• Free Online Course

IIT Ropar;  NPTEL

Deep learning - IITRopar

Deep Learning has been employed successfully by companies like Google, Microsoft, IBM, Facebook, Twitter etc. to solve a wide range of problems in Computer Vision and Natural Language Processing. In this course we will learn about the building blocks use…

• Swayam
• 12 weeks
• Finished
• Free Online Course

IIT Ropar;  NPTEL

Deep Learning - Part 1

Learn deep learning fundamentals with IIT Ropar. Explore neural networks, optimization algorithms, and architectures for Vision and NLP tasks. Gain practical knowledge in CNNs, RNNs, and attention mechanisms over 12 weeks.

• Swayam
• 12 weeks
• Finished
• Free Online Course