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5PM Deep Learning with Keras || Week 3 || Part 4
Introduction
Welcome to Week 3, Part 4 of our Deep Learning with Keras series. In this session, we will dive deeper into the topic of neural networks and explore more advanced concepts.
Topics Covered
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory (LSTM)
- Transfer Learning
- Hyperparameter tuning
Practical Session
During this session, you will have the opportunity to implement CNNs and RNNs using Keras. You will learn how to build and train these models for various tasks such as image classification, text generation, and time series forecasting.
Assignment
For your assignment, you will be required to create a CNN or RNN model from scratch and train it on a dataset of your choice. You will then have to evaluate the performance of your model and analyze the results.
Conclusion
By the end of this session, you will have a better understanding of advanced deep learning concepts and how to apply them in practice using Keras. We hope you find this session challenging and rewarding!
