Results for "cnn"
Status: Free TrialDeepLearning.AI
Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Artificial Neural Networks, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Data Preprocessing
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Keras (Neural Network Library), Image Analysis, Deep Learning, Tensorflow, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Manipulation, Data Transformation, Financial Forecasting, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Applied Machine Learning, Cloud Computing
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Classification Algorithms, Model Evaluation
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming
Skills you'll gain: Tensorflow, Convolutional Neural Networks, Image Analysis, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Software Visualization, Machine Learning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Transfer Learning, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Classification Algorithms, Model Evaluation, Visualization (Computer Graphics), Network Architecture
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, X-Ray Computed Tomography, Data Manipulation, Radiology, Analytical Skills, Experimentation, Statistical Analysis, Biomedical Technology, Advanced Analytics, Network Analysis, R Programming, Data Processing, Research Design, Statistics
Status: PreviewSungkyunkwan University
Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Machine Learning
Status: Free TrialSkills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Autoencoders, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning, Computer Vision, Model Evaluation, Performance Tuning
Status: Free TrialJohns Hopkins University
Skills you'll gain: Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Image Analysis, Machine Learning, Computer Vision, Model Evaluation, Supervised Learning, Algorithms, Statistical Methods, Linear Algebra, Probability
Skills you'll gain: Keras (Neural Network Library), Tensorflow, Convolutional Neural Networks, Deep Learning, Machine Learning, Computer Vision
Status: Free TrialEdureka
Skills you'll gain: Tensorflow, Predictive Modeling, Machine Learning, Text Mining, Deep Learning, Natural Language Processing, Applied Machine Learning, Convolutional Neural Networks, Supervised Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Classification Algorithms, Data Science, Data Preprocessing
In summary, here are 10 of our most popular cnn courses
- Convolutional Neural Networks:Â DeepLearning.AI
- Deep Learning with Python: CNN, ANN & RNN:Â EDUCBA
- Deep Learning with PyTorch:Â IBM
- Introduction to CNN Training:Â Simplilearn
- Visualizing Filters of a CNN using TensorFlow:Â Coursera
- Advanced Computer Vision with TensorFlow:Â DeepLearning.AI
- Neuroscience and Neuroimaging:Â Johns Hopkins University
- Fundamentals of CNNs and RNNs:Â Sungkyunkwan University
- Deep Learning with Keras and Tensorflow:Â IBM
- Introduction to Neural Networks:Â Johns Hopkins University
