Deep Neural Networks Courses and Certifications

Jeff Heaton

Applications of Deep Neural Networks with PyTorch - Module 1.1

Discover how PyTorch deep neural networks revolutionize machine learning through practical applications, emphasizing their unique advantages and implementation in modern AI solutions.

• YouTube
• 14 minutes
• On-Demand
• Free Video

EDGE AI FOUNDATION

Twofold Sparsity: Joint Bit and Network-level Sparse Deep Neural Networks for Energy-efficient RRAM Computing

Explore innovative techniques for compressing deep learning models through joint bit- and network-level sparsity, optimizing energy efficiency in compute-in-memory architectures.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Jeff Heaton

Applications of Deep Neural Networks with PyTorch - Course Overview - 1.1

Discover PyTorch deep neural networks and their unique applications compared to traditional machine learning models in this Washington University hybrid format introduction.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Jeff Heaton

Applications of Deep Neural Networks with PyTorch - Course Overview - 1.1

Discover PyTorch deep neural networks and their applications through Washington University's hybrid format, exploring how neural networks excel beyond traditional machine learning models.

• YouTube
• 11 minutes
• On-Demand
• Free Video

AI Doctoral Academy

Quantitatively Assessing Explainable AI for Deep Neural Networks

Explore quantitative methods for evaluating explainable AI techniques in deep neural networks through Dr. Zullich's comprehensive 3+ hour lecture from AIDA AICET2025.

• YouTube
• 3 hours 24 minutes
• On-Demand
• Free Video

Centre for Networked Intelligence, IISc

Can Kernel Machines Be a Viable Alternative to Deep Neural Networks?

Explore the potential of kernel machines as alternatives to deep neural networks with Prof. Parthe Pandit, who presents research on data-dependent supervised kernels and fast scalable training algorithms for modern large-scale applications.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Deep Learning: Convolutional Neural Networks for developers

44 ratings at Udemy

This course will teach you Deep learning focusing on Convolution Neural Networks architectures

• Udemy
• 2 hours 49 minutes
• On-Demand
• Paid Course

Convolutional Neural Networks: Deep Learning

25 ratings at Udemy

Gain a comprehensive understanding of CNNs and apply this knowledge to develop a project

• Udemy
• 3 hours 4 minutes
• On-Demand
• Paid Course

Packt Microcredential

Deep Learning: Recurrent Neural Networks with Python

5 ratings at Coursera

Master RNNs, GRUs, and LSTMs for deep learning tasks. Build and implement neural networks using TensorFlow, culminating in projects like automatic book writing and stock price prediction.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course

Packt

Deep Learning - Artificial Neural Networks with TensorFlow

Explore deep learning and artificial neural networks using TensorFlow. Learn foundational concepts, implement ANN models, and optimize deep learning models through hands-on examples and practical applications.

• Coursera
• 7 hours 21 minutes
• On-Demand
• Paid Course

Packt

Foundations of Deep Learning and Neural Networks

Master deep learning fundamentals, from neural network basics to advanced CNNs. Explore backpropagation, regularization techniques, and practical applications using TensorFlow and Keras. Ideal for tech professionals and students.

• Coursera
• 14 hours 19 minutes
• On-Demand
• Paid Course

Deep Learning Frameworks and Neural Networks Simplified

Master advanced deep learning skills with TensorFlow, Keras, and neural networks. Build cutting-edge AI models, implement RNNs and LSTMs, and develop practical solutions for real-world challenges.

• Coursera
• 5 hours 22 minutes
• On-Demand
• Paid Course

Packt

Deep Learning: Convolutional Neural Networks with TensorFlow

Unlock the potential of deep learning by mastering Convolutional Neural Networks and Transfer Learning with hands-on TensorFlow and Keras experience for image and text classification.

• Coursera
• 5 hours 14 minutes
• On-Demand
• Paid Course

Packt

Deep Learning - Recurrent Neural Networks with TensorFlow

Master recurrent neural networks for time series prediction and NLP tasks using TensorFlow. Implement advanced architectures like GRUs and LSTMs for stock forecasting, image classification, and text analysis.

• Coursera
• 5 hours 41 minutes
• On-Demand
• Paid Course

EDUCBA

Deep Learning with TensorFlow: Build Neural Networks

Master TensorFlow fundamentals and build neural networks from perceptrons to CNNs, implementing transfer learning for real-world image classification tasks.

• Coursera
• 5 hours 19 minutes
• On-Demand
• Paid Course