English | Size: 1.06 GB
Genre: eLearning
Build Neural Networks for Real AI Projects. Master CNN, ANN, and RNN in Python with hands-on projects and real-world case studies
What you’ll learn
Design, build, and evaluate CNN, ANN, and RNN models in Python using TensorFlow and Keras.
Apply preprocessing, feature engineering, and optimization techniques to real-world datasets.
Implement deep learning solutions for image recognition, customer churn, and stock forecasting.
Specialization – 3 course series
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.
Applied Learning Project
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.
rapidgator.net/file/817e4f8c57322c8a6d53b17586f96668/CA-MasterCNNswithPythonBuildTrainEvaluateModels2025-12.rar.html
rapidgator.net/file/81c6a0a7194f88241e4db16d1fe0e127/CA-DeepLearningwithANNinPythonBuildOptimize2025-12.rar.html
rapidgator.net/file/51d63e0d68ac89b53dafe918bf343739/CA-DeepLearningRNNLSTMStockPricePrediction2025-12.rar.html
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