用GameLoop模拟器在電腦上玩Learn Python Deep Learning

Learn Python Deep Learning 電腦版

來自發行商 InterviewQuestions 的 Learn Python Deep Learning 能夠在安卓系統上運行。

現在，您可以在電腦上使用 GameLoop 模擬器流暢地玩 Learn Python Deep Learning。

在 GameLoop 遊戲庫或搜索結果中下載。 不需要再暢玩遊戲時盯著電池電量或被令人懊惱的來電打斷。

只需在電腦大屏幕上免費下載暢玩Learn Python Deep Learning 電腦版！

Learn Python Deep Learning 簡介

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. The tutorial explains how the different libraries and frameworks can be applied to solve complex real world problems.

Audience

This tutorial has been prepared for professionals aspiring to learn the basics of Python and develop applications involving deep learning techniques such as convolutional neural nets, recurrent nets, back propagation, etc.

Prerequisites

Before you proceed with this tutorial, we assume that you have prior exposure to Python, Numpy, Pandas, Scipy, Matplotib, Windows, any Linux distribution, prior basic knowledge of Linear Algebra, Calculus, Statistics and basic machine learning techniques.

Python Deep Learning Tutorial for Beginners - Learn Python Deep Learning in simple and easy steps starting from basic to advanced concepts with examples including Introduction, Environment, Basic Machine Learning, Artificial Neural Networks, Deep Neural Networks, Fundamentals, Training a Neural Network, Computational Graphs, Applications, Libraries and Frameworks, Implementations.

Python Deep Learning, Tutorial, Introduction, Environment, Basic Machine Learning, Artificial Neural Networks, Deep Neural Networks, Fundamentals, Training a Neural Network, Computational Graphs, Applications, Libraries and Frameworks, Implementations.

"Python Deep Learning - Introduction","Python Deep Learning - Environment","Python Deep Basic Machine Learning" , "Artificial Neural Networks" , "Deep Neural Networks" , "Python Deep Learning - Fundamentals" , "Training a Neural Network" , "Computational Graphs" , "Python Deep Learning - Applications" , "Libraries and Frameworks" , "Python Deep Learning - Implementations"