ดาวน์โหลด Learn Python Deep Learning บนพีซีด้วย GameLoop Emulator

Learn Python Deep Learning บน PC

Learn Python Deep Learning มาจากผู้พัฒนา InterviewQuestions ที่เคยรันบนระบบปฏิบัติการ Android มาก่อน

ตอนนี้คุณสามารถเล่น Learn Python Deep Learning บนพีซีด้วย GameLoop ได้อย่างราบรื่น

ดาวน์โหลดในไลบรารี GameLoop หรือผลการค้นหา ไม่ต้องสนใจแบตเตอรี่หรือโทรผิดเวลาอีกต่อไป

เพียงเพลิดเพลินกับ Learn Python Deep Learning PC บนหน้าจอขนาดใหญ่ฟรี！

Learn Python Deep Learning บทนำ

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"