Deep Learning with Python: CNN, ANN & RNN

Coursera Certificate USD 49
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Deep Learning with Python: CNN, ANN & RNN

About this course

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.

What you'll learn

  • understanding of CNNs
  • proficiency in ANNs
  • knowledge of RNNs
  • experience with LSTM layers
  • ability to apply deep learning techniques to business problems

Course objectives

  • to master deep learning techniques with practical applications
  • to complete real-world projects in image recognition and forecasting
  • to gain hands-on experience with TensorFlow and Keras

Skills you'll gain

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