Master advanced machine learning with 200 unique practice questions on Neural Networks, TensorFlow, and Keras
Sub Category
- Other IT & Software
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Objectives
- Architect and evaluate deep learning models using Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).
- Optimize neural network performance by tuning hyperparameters such as learning rates, batch sizes, and optimizers (Adam, SGD).
- Implement techniques to prevent model overfitting, including dropout layers, regularization, and Keras EarlyStopping callbacks.
- Apply TensorFlow and Keras pipelines to solve real-world problems like customer churn, time-series forecasting, and image classification.
Pre Requisites
- A foundational understanding of Python and standard machine learning concepts. Familiarity with the basics of TensorFlow or Keras is highly recommended to get the most out of these expert-level exams.
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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