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Deep Learning with Python: CNN, ANN & RNN

Name: Deep Learning with Python: CNN, ANN & RNN
Price: 49 USD
Availability: InStock

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.

67/100

CourseAsk score

What the provider tells you: 31/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

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

Deep Learning #deep learning #python #ai applications #stock forecasting #neural networks #tensorflow #image recognition #keras #cnn #lstm #rnn #ann #customer churn prediction

$49.00

Price shown by Coursera — confirm on their site.

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