Neural Networks Courses and Certifications

Convolution in One Dimension for Neural Networks

Comprehensive exploration of 1D convolution in neural networks, covering theory, implementation, and practical application for time series data analysis and model building.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

Serrano.Academy

Neural Networks

This Course is a friendly introduction series to machine learning, deep learning, neural networks and generative adversarial networks.

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

The MLP Architecture: Activations & Initialization in R

Master MLP architecture in R by stacking layers, implementing ReLU and Softmax activations, and applying weight initialization strategies like He and Xavier for effective neural network training.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Building and Applying Your Neural Network Library

Master building a reusable neural network R package, from refactoring components to training on real-world housing data for regression tasks.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Data Science: Deep Learning and Neural Networks in Python

10274 ratings at Udemy

The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code

• Udemy
• 12 hours 9 minutes
• On-Demand
• Paid Course

Artificial Neural Network for Regression

6421 ratings at Udemy

Build an ANN Regression model to predict the electrical energy output of a Combined Cycle Power Plant

• Udemy
• 1 hour 12 minutes
• On-Demand
• Free Online Course

Introduction to Artificial Neural Network and Deep Learning

1800 ratings at Udemy

The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition

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

Recurrent Neural Networks (RNNs) for Language Modeling with Keras

Learn how to use RNNs to classify text sentiment, generate sentences, and translate text between languages.

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

Convolutional Neural Networks

Learn to build and apply Convolutional Neural Networks for image processing, including classification, object detection, and segmentation. Explore key architectures, transfer learning, and autoencoders for practical applications.

• Udacity
• 21 hours
• On-Demand
• Paid Course

Advanced Neural Network Techniques

Master advanced neural network architectures including RNNs, Autoencoders, GANs, and Deep Reinforcement Learning through hands-on projects and real-world applications, from mathematical foundations to practical implementation.

• Coursera
• 10 hours 48 minutes
• On-Demand
• Paid Course

Statistical Learning with R

28 reviews

Learn some of the main tools used in statistical modeling and data science. We cover both traditional as well as exciting new methods, and how to use them in R. Course material updated in 2021 for second edition of the course textbook.

• edX
• 11 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Introduction to Neural Networks with TensorFlow

Master neural networks and deep learning fundamentals using TensorFlow, from data preprocessing to model training. Build and optimize architectures, implement activation functions, and enhance model performance with the Digits dataset.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

JAX in Action: Neural Networks from Scratch

Master neural network fundamentals by building an MLP from scratch using JAX, tackling XOR classification with parameter management, forward propagation, and manual training loops.

• CodeSignal
• 2 hours
• On-Demand
• Free Certificate

Improving Neural Networks with PyTorch

Master advanced PyTorch techniques like dropout, early stopping, and batch normalization to transform weak neural networks into robust, high-performing models through hands-on implementation.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Training Neural Networks: the Backpropagation Algorithm

Master the backpropagation algorithm by implementing loss functions, gradient descent, and SGD optimizers to train neural networks using R.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate