Welcome to the Deep Learning tutorials section of our developer blog! Here, you will find a variety of resources to help you understand and implement deep learning techniques.
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.
- Neural Networks: The building blocks of deep learning.
- Activation Functions: How neural networks learn from data.
- Backpropagation: The process of training a neural network.
Tutorials
Building Your First Neural Network
This tutorial walks you through the process of building a simple neural network from scratch using Python and TensorFlow.
Convolutional Neural Networks (CNNs)
Learn how to build and train CNNs for image recognition tasks.
Recurrent Neural Networks (RNNs)
Explore the world of RNNs and how they can be used for sequence data like text and time series.
Transfer Learning
Discover how to use pre-trained models to improve the performance of your own models.
Resources
- Deep Learning Book - A comprehensive guide to deep learning.
- Keras Documentation - The Keras library is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, Theano, or CNTK.
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Stay tuned for more tutorials and articles on deep learning!