Welcome to our Python tutorials on Deep Learning! If you are new to deep learning or looking to expand your knowledge, these tutorials are designed to guide you through the basics and advanced concepts of deep learning using Python.
Getting Started
Before diving into the tutorials, make sure you have the following prerequisites:
- Basic knowledge of Python programming
- Familiarity with fundamental machine learning concepts
- Access to a Python environment
Tutorials
1. Introduction to Deep Learning
Deep learning is a subset of machine learning that structures algorithms in layers to create an "artificial neural network" that can learn and make intelligent decisions on its own.
2. Building Your First Neural Network
In this tutorial, you'll learn how to build a simple neural network using Python and TensorFlow.
3. Convolutional Neural Networks (CNNs)
CNNs are a class of deep neural networks, most commonly applied to analyzing visual imagery.
4. Recurrent Neural Networks (RNNs)
RNNs are designed to work with sequences of data, such as time series or natural language.
5. Deep Learning with Keras
Keras is an open-source software library that provides a Python interface for artificial neural networks.
Resources
Here's a visual representation of a neural network:
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