This Specialization provides a practical, project-driven pathway to mastering deep learning with Python. Learners will explore Convolutional Neural Networks (CNNs), Artificial Neural Networks (ANNs), and Recurrent Neural Networks (RNNs) with LSTM layers through real-world case studies in image recognition, customer churn prediction, and stock price forecasting. Each course emphasizes both theory and hands-on coding using TensorFlow and Keras, ensuring you graduate with job-ready AI skills and the ability to apply neural networks to authentic business and financial problems.
Projet d'apprentissage appliqué
Learners will complete guided projects that apply deep learning to real datasets, including image classification, customer churn analysis, and stock price forecasting. These projects ensure practical application of Python-based neural networks, building confidence to solve real-world AI challenges.
