Build Neural Network Skills with Projects
Neural network projects can help you learn how to design, train, and evaluate neural networks, as well as apply techniques like convolutional and recurrent networks for tasks such as image recognition and natural language processing. You can build skills in data preprocessing, model optimization, and performance evaluation. Many courses introduce tools like TensorFlow and Keras, which facilitate the implementation of neural networks, and provide hands-on experience in deploying AI solutions for real-world applications.
Full List of Neural Network Projects
Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Python Programming, Natural Language Processing, Data Preprocessing, Applied Machine Learning, Text Mining, Machine Learning Algorithms, Deep Learning, Classification Algorithms, Machine Learning
Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
Skills you'll gain: LinkedIn, Drive Engagement, Content Creation, Professional Networking, Digital Publishing, Social Media, Relationship Building, Branding, Professional Development
Skills you'll gain: PyTorch (Machine Learning Library), Data Preprocessing, Transfer Learning, Convolutional Neural Networks, Medical Imaging, Radiology, Image Analysis, Deep Learning, Python Programming
What brings you to Coursera today?
Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving
Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data-oriented programming, Statistical Programming, Data Analysis Software, Data Analysis, Data Science
Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Convolutional Neural Networks, Computer Vision
Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Classification Algorithms, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Model Evaluation, Machine Learning, Feature Engineering, Python Programming
Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms
Coursera
Skills you'll gain: Portfolio Risk, Investment Management, Risk Management, Financial Analysis, Risk Analysis, Portfolio Management, Financial Market, Investments, Return On Investment, Statistics
In summary, here are 10 of our most popular neural network courses
- Tweet Emotion Recognition with TensorFlow: Coursera
- Deep Learning with PyTorch : Generative Adversarial Network: Coursera
- Creating Multi Task Models With Keras: Coursera
- Deep-Dive into Tensorflow Activation Functions: Coursera
- Strategically Build and Engage Your Network on LinkedIn : Coursera
- Pneumonia Classification using PyTorch : Coursera
- CNNs with TensorFlow: Basics of Machine Learning: Coursera
- Getting Started with R: Coursera
- Deep Learning with PyTorch : Siamese Network: Coursera
- Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
