Python is a general-purpose high level programming language that is widely used in data science and for producing deep learning algorithms. This brief tutorial introduces Python and its libraries like Numpy, Scipy, Pandas, Matplotlib; frameworks like Theano, TensorFlow, Keras.

In this chapter, we will learn about the environment set up for Python Deep Learning. We have to install the following software for making deep learning algorithms.

Python Deep Learning Quick Guide - Explore the essentials of Python Deep Learning with our quick tutorial. Dive into concepts, frameworks, and practical applications to enhance your skills.

We have developed great learning material for you to learn Python programming, which will help you prepare for the technical interviews and certification exams based on Python. So, start learning Python using this simple and effective tutorial from anywhere and anytime, absolutely at …

Introduction to Python Deep Learning - Explore the fundamentals of Python deep learning, its applications, and how to get started with powerful libraries.

Keras Tutorial - Learn Keras, a powerful deep learning library for Python. Explore its features, functionalities, and how to build neural networks effectively.

Machine Learning with Python Tutorial - Learn the fundamentals of Machine Learning using Python. Explore algorithms, data preprocessing, model evaluation, and practical examples to enhance your skills.

Learn how to set up a Python deep learning environment efficiently. Step-by-step instructions for installing essential libraries and tools.

Theano Tutorial - Learn Theano, a powerful library for deep learning in Python, with step-by-step instructions and examples.