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  • Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Python Programming, Model Training, Model Optimization

  • DeepLearning.AI

    Skills you'll gain: Tensorflow, Machine Learning Methods, Machine Learning, Debugging, Performance Tuning, Data Preprocessing, Python Programming, Model Evaluation, Network Architecture

  • Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Autoencoders, Model Training, Regression Analysis, Machine Learning

  • Johns Hopkins University

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Unsupervised Learning, Machine Learning, Computer Vision

  • Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Regression Analysis, Tensorflow, Supervised Learning, Deep Learning, Predictive Modeling, Machine Learning, Statistical Methods, Data Processing, Probability & Statistics

  • Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Development Environment, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Preprocessing, Generative Model Architectures, Feature Engineering, Model Training, Convolutional Neural Networks, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Natural Language Processing, Network Model, Vision Transformer (ViT), Computer Vision, Jupyter, Model Evaluation, Model Based Systems Engineering

  • What brings you to Coursera today?

  • Johns Hopkins University

    Skills you'll gain: Convolutional Neural Networks, Model Optimization, Artificial Neural Networks, Deep Learning, Machine Learning Algorithms, Machine Learning Methods, Model Training, Machine Learning, Computer Vision, Model Evaluation, Algorithms

  • Skills you'll gain: Supervised Learning, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

  • Skills you'll gain: Supervised Learning, Machine Learning Methods, Applied Machine Learning, Computer Vision, Machine Learning Algorithms, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Data Science, Logistic Regression, Data Preprocessing, Embeddings

  • Skills you'll gain: Artificial Neural Networks, Convolutional Neural Networks, Tensorflow, Model Training, Model Optimization, Machine Learning, Machine Learning Algorithms

  • Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Model Optimization, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Predictive Modeling, Development Environment, Project Performance, Forecasting

  • Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Network Architecture