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

63212 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

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

How Neural Networks Work

This video sequence tracks the lecture sequence in course 313 from the End to End Machine Learning School, How Neural Networks Work.

• YouTube
• 4 hours 30 minutes
• On-Demand
• Free Video

Convolution in Two Dimensions

Explore 2D convolution, softmax, and batch normalization. Build a CNN for MNIST digits using Cottonwood, covering model architecture, training, and evaluation techniques.

• YouTube
• 2 hours 30 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

Andrej Karpathy

Building Makemore - Activations & Gradients, BatchNorm

Explore MLP internals, activations, gradients, and BatchNorm. Learn to diagnose deep networks, understand training challenges, and implement modern techniques for improved performance.

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