Neural Networks Courses
Neural networks courses can help you learn the basics of architecture design, backpropagation, activation functions, and optimization techniques. You can build skills in training models, tuning hyperparameters, and evaluating performance metrics. Many courses introduce tools like TensorFlow and PyTorch, that support implementing neural networks in practical applications such as image recognition, natural language processing, and predictive analytics.
Popular Neural Networks Courses and Certifications
Status: Free TrialDeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Machine Learning, Python Programming, Linear Algebra, Performance Tuning, Algorithms
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Deep Learning, Recurrent Neural Networks (RNNs), Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Autoencoders, Applied Machine Learning, Tensorflow, Transfer Learning, Model Evaluation, Computer Vision, Machine Learning, Supervised Learning, Machine Learning Algorithms, Regression Analysis, Algorithms
Status: NewStatus: Free TrialDartmouth College
Skills you'll gain: Supervised Learning, Artificial Neural Networks, Bayesian Statistics, Statistical Machine Learning, Probability Distribution, Probability & Statistics, Machine Learning Methods, Model Evaluation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Statistical Modeling, Logistic Regression, Machine Learning Algorithms, Statistical Methods, Classification Algorithms, Deep Learning, Regression Analysis, Statistical Inference, Artificial Intelligence
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Artificial Neural Networks, Image Analysis, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Logistic Regression, Regression Analysis, Supervised Learning, Classification Algorithms, Model Evaluation
Status: Free TrialJohns Hopkins University
Skills you'll gain: Responsible AI, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Model Deployment, Debugging, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision, Image Analysis, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML)
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Transfer Learning, Keras (Neural Network Library), Artificial Neural Networks, Image Analysis, Applied Machine Learning, Large Language Modeling, Supervised Learning, PyTorch (Machine Learning Library), Hugging Face, Artificial Intelligence, Model Evaluation, Embeddings, Machine Learning
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Model Evaluation, Algorithms, Supervised Learning, Linear Algebra, Performance Tuning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Keras (Neural Network Library), Image Analysis, Tensorflow, Artificial Neural Networks, Deep Learning, Transfer Learning, Network Architecture, Model Evaluation
Status: Free TrialSkills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation
Status: Free TrialDeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning, Performance Tuning, Model Evaluation, Algorithms, Debugging
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning, Supervised Learning, Logistic Regression, Classification Algorithms, Model Evaluation
Status: NewStatus: Free TrialPearson
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, Model Deployment, Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Vision Transformer (ViT), LLM Application, Transfer Learning, Computer Vision, Responsible AI, Natural Language Processing, Embeddings, Keras (Neural Network Library), Generative AI, Artificial Neural Networks, Multimodal Prompts
In summary, here are 10 of our most popular neural networks courses
- Neural Networks and Deep Learning:Â DeepLearning.AI
- Introduction to Deep Learning & Neural Networks with Keras:Â IBM
- Practical Machine Learning: Foundations to Neural Networks:Â Dartmouth College
- Introduction to Neural Networks and PyTorch:Â IBM
- Foundations of Neural Networks:Â Johns Hopkins University
- Deep Learning:Â DeepLearning.AI
- Introduction to Neural Networks:Â Johns Hopkins University
- Convolutional Neural Networks:Â DeepLearning.AI
- Deep Learning: Recurrent Neural Networks with Python:Â Packt
- Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization:Â DeepLearning.AI
