Data Science: Deep Learning and Neural Networks in Python

 Data Science: Deep Learning and Neural Networks in Python

The MOST in-depth look at neural network theory for machine learning, with both pure Python and Tensorflow code

I found a few resources that might help you. Here are some links to articles and courses that cover deep learning and neural networks in Python:

Deep Learning With Python: A Guide - This article provides an overview of deep learning and neural networks in Python.

Data Science: Deep Learning and Neural Networks in Python - This course covers neural network theory for machine learning, with both pure Python and Tensorflow code.

Neural Networks and Deep Learning with Python - This article provides a tutorial on how to set up neural networks, artificial neural networks, and deep neural networks using Python.

I hope these resources help you get started on your blog article! Let me know if you have any other questions.

What you'll learn

• Learn how Deep Learning REALLY works (not just some diagrams and magical black box code)
• Learn how a neural network is built from basic building blocks (the neuron)
• Code a neural network from scratch in Python and numpy
• Code a neural network using Google's TensorFlow
• Describe different types of neural networks and the different types of problems they are used for
• Derive the backpropagation rule from first principles
• Create a neural network with an output that has K > 2 classes using softmax
• Describe the various terms related to neural networks, such as "activation", "backpropagation" and "feedforward"
• Install TensorFlow

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