Batch Normalization Courses and Certifications

Yannic Kilcher

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Explore how Batch Normalization accelerates deep network training by reducing internal covariate shift, enabling higher learning rates and improved model performance.

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

Microcredential

Comprehensive Introduction to PyTorch

Master PyTorch fundamentals through hands-on exercises, progressing from tensor basics to advanced neural networks and model optimization techniques using real-world datasets like wine classification.

• CodeSignal
• On-Demand
• Free Certificate
• 4 courses

PyTorch Techniques for Model Optimization

Master advanced PyTorch optimization techniques including regularization, dropout, batch normalization, and learning rate scheduling to enhance model performance and prevent overfitting.

• CodeSignal
• On-Demand
• Free Certificate

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

63167 ratings at Coursera

Enhance deep learning skills: master hyperparameter tuning, regularization, optimization, and TensorFlow implementation for improved neural network performance and systematic results generation.

• Coursera
• 23 hours 35 minutes
• On-Demand
• Free Online Course (Audit)

Deep Learning: Convolutional Neural Networks in Python

6043 ratings at Udemy

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

• Udemy
• 13 hours 20 minutes
• On-Demand
• Paid Course

Deep Learning with PyTorch

12 ratings at DataCamp

Learn to create deep learning models with the PyTorch library.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

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
• 4 hours 39 minutes
• On-Demand
• Free Online Course (Audit)

Intro to Deep Learning

3 reviews

Use TensorFlow and Keras to build and train neural networks for structured data.

• Kaggle
• 4 hours
• On-Demand
• Free Certificate

Deep Learning: Model Optimization and Tuning

208 ratings at LinkedIn Learning

Learn about various optimization and tuning options available for deep learning models and use them to improve models.

• LinkedIn Learning
• 54 minutes
• On-Demand
• Free Trial Available

DigitalSreeni

An Overview of Deep Learning and Neural Networks

Comprehensive introduction to deep learning concepts, covering neural networks, convolution, pooling, normalization, and more. Includes code examples for practical implementation.

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

Yannic Kilcher

NVAE- A Deep Hierarchical Variational Autoencoder

Detailed explanation of NVAE, a deep hierarchical variational autoencoder for high-resolution image generation, covering architecture, training techniques, and state-of-the-art results.

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

Great Learning

Batch Normalization

Explore batch normalization in deep learning: its implementation, benefits, and impact on network performance. Learn when and how to use it effectively for improved model training.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Yannic Kilcher

NFNets - High-Performance Large-Scale Image Recognition Without Normalization

Explore Normalizer-Free Networks, a novel approach to image recognition that achieves state-of-the-art accuracy without batch normalization, offering faster training and improved transfer learning performance.

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

Andrej Karpathy

Building Makemore - Building a WaveNet

Dive deep into building a WaveNet-like convolutional neural network, exploring torch.nn, and understanding the typical deep learning development process through hands-on implementation.

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

Andrej Karpathy

Building Makemore - Becoming a Backprop Ninja

Hands-on tutorial on manual backpropagation through a 2-layer MLP, enhancing understanding of gradient flow in neural networks for confident innovation and debugging.

• YouTube
• 1 hour 55 minutes
• On-Demand
• Free Video