Deep Neural Networks Courses and Certifications

Deep Learning: Convolutional Neural Networks in Python

6846 ratings at Udemy

Tensorflow 2 CNNs for Computer Vision, Natural Language Processing (NLP) +More! For Data Science & Machine Learning

• Udemy
• 13 hours 54 minutes
• Self-Paced
• Paid Course

Deep Learning: Recurrent Neural Networks in Python

5951 ratings at Udemy

GRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial Intelligence

• Udemy
• 13 hours 24 minutes
• Self-Paced
• Paid Course

EDGE AI FOUNDATION

Neural Architecture Search for Tiny Devices - Optimizing Deep Neural Networks for Edge Platforms

Delve into automated neural architecture search techniques for edge devices, exploring optimization strategies for creating efficient, accurate deep learning models with minimal resource requirements.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

EDGE AI FOUNDATION

From the Lab to the Edge: Post-Training Compression for Deep Neural Networks

Discover how to efficiently deploy deep neural networks on edge devices using post-training compression techniques, achieving high speeds with minimal accuracy loss through quantization and pruning methods.

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

Institute for Advanced Study

Understanding Deep Neural Networks - From Generalization to Interpretability

Explore deep neural networks, focusing on generalization and interpretability. Delve into graph convolutional networks, spectral filtering, and transferability. Examine fundamental questions and relevance mapping in machine learning.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

The Full Stack

Troubleshooting Deep Neural Networks - Full Stack Deep Learning - March 2019

Learn effective strategies for diagnosing and fixing issues in deep neural networks, including a decision tree for systematic troubleshooting and performance optimization.

• YouTube
• 1 hour 39 minutes
• Self-Paced
• Free Video

Black Hat

Deep Neural Networks for Hackers - Methods, Applications, and Open Source Tools

Intuitive overview of deep neural networks for cybersecurity, covering methods, applications, and open-source tools for detecting malicious files, URLs, and domains.

• YouTube
• 44 minutes
• Self-Paced
• Conference Talk

DigitalSreeni

The Topology of Deep Neural Networks - Designing Your Model

Explore deep neural network topology and model design techniques for effective machine learning implementations.

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

Paul Hand

Adversarial Examples for Deep Neural Networks

Explore adversarial examples in deep neural networks, covering white/black box attacks, real-world scenarios, and defense strategies like adversarial training. Gain insights into various attack methods and their implications.

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

Nvidia

Boosted Trees and Deep Neural Networks for Better Recommender Systems

Explore GPU-accelerated boosted trees and deep neural networks for building winning recommender systems, featuring insights from Kaggle Grandmasters on the ACM RecSys Challenge.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Paul G. Allen School

Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units

Exploring three generations of Tensor Processing Units (TPUs) for deep neural networks, highlighting performance improvements and the rise of domain-specific architectures in the post-Moore's Law era.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Neural Networks in Python: Deep Learning for Beginners

1839 ratings at Udemy

Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python

• Udemy
• 9 hours 21 minutes
• Self-Paced
• Paid Course

Training Deep Neural Networks - Introduction to Keras/TensorFlow - Application to Tabular Data - Lecture 2

Master deep neural network training with Keras/TensorFlow through practical heart disease prediction modeling and tabular data applications.

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