Welcome to 5PM Deep Learning with Keras

On Week 4, Day 2, we continue our journey into the world of deep learning with Keras. Today, we will be diving deeper into some advanced concepts and techniques that will help us improve our neural network models.

Topics Covered Today:

• Understanding Recurrent Neural Networks (RNNs)
• Long Short-Term Memory (LSTM) networks
• Time series forecasting with Keras

Recap of Previous Sessions

Before we delve into today’s topics, let’s do a quick recap of what we have learned so far in our deep learning journey:

1. Introduction to Neural Networks
2. Building and training basic neural network models using Keras
3. Convolutional Neural Networks (CNNs)

Today’s Hands-on Session

During today’s session, we will be working on a hands-on project where you will get to implement an LSTM network for time series forecasting. You will learn how to preprocess time series data, build an LSTM model, train the model, and make predictions.

Resources for Further Learning

If you want to delve deeper into the world of deep learning with Keras, here are some recommended resources:

1. Keras Documentation
2. TensorFlow Tutorials
3. Deep Learning Specialization on Coursera