
PyTorch Tutorial 電腦版
Erica curse
用GameLoop模拟器在電腦上玩PyTorch Tutorial
PyTorch Tutorial 電腦版
來自發行商 Erica curse 的 PyTorch Tutorial 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 PyTorch Tutorial。
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PyTorch Tutorial 電腦版!
PyTorch Tutorial 簡介
PyTorch is defined as an open source machine learning library for Python. It is used for applications such as natural language processing.
PyTorch redesigns and implements Torch in Python while sharing the same core C libraries for the backend code.
PyTorch developers tuned this back-end code to run Python efficiently.
They also kept the GPU based hardware acceleration as well as the extensibility features that made Lua-based Torch.
List of topics covered in this tutorial :
PyTorch - Introduction
PyTorch - Installation
Mathematical Building Blocks of Neural Networks
PyTorch - Neural Network Basics
Universal Workflow of Machine Learning
PyTorch - Machine Learning vs. Deep Learning
PyTorch - Implementing First Neural Network
PyTorch - Neural Networks to Functional Blocks
PyTorch - Terminologies
PyTorch - Loading Data
PyTorch - Linear Regression
PyTorch - Convolutional Neural Network
PyTorch - Recurrent Neural Network
PyTorch - Datasets
PyTorch - Introduction to Convents
PyTorch - Training a Convent from Scratch
PyTorch - Feature Extraction in Convents
PyTorch - Visualization of Convents
PyTorch - Sequence Processing with Convents
PyTorch - Word Embedding
PyTorch - Recursive Neural Networks
標籤
教育訊息
開發商
Erica curse
最新版本
1.0
更新時間
2020-09-20
類別
教育
同時可用
Google Play
更多
如何在電腦上用 GameLoop 玩 PyTorch Tutorial
1. 從官網下載GameLoop,然後運行exe文件安裝GameLoop
2. 打開GameLoop,搜索“PyTorch Tutorial”,在搜索結果中找到PyTorch Tutorial,點擊“安裝”
3. 享受在 GameLoop 上玩 PyTorch Tutorial 的樂趣
Minimum requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-8300
Memory
8GB RAM
Storage
1GB available space
Recommended requirements
OS
Windows 8.1 64-bit or Windows 10 64-bit
GPU
GTX 1050
CPU
i3-9320
Memory
16GB RAM
Storage
1GB available space