«[Intro to Deep Learning with PyTorch -- L2 -- N20] Cross-Entropy »[Tools] Package Your node.js Projects Into a Standalone Applications with pkg posted @2020-06-15 22:09Zhentiw阅读(339) 评论(0)编辑收藏举报 公告 昵称:Zhentiw
Implementing the Gradient Descent Algorithm In this lab, we'll implement the basic functions of the Gradient Descent algorithm to find the boundary in a small dataset. First, we'll start with some functions that will help us plot and visualize the data. importmatplotlib.pyplot as pltimportnumpy...
For the second example, where the line is described by 3x1+ 4x2 - 10 = 0, if the learning rate was set to 0.1, how many times would you have to apply the perceptron trick to move the line to a position where the blue point, at (1, 1), is correctly classified?
b+=learn_ratereturnW, b#This function runs the perceptron algorithm repeatedly on the dataset,#and returns a few of the boundary lines obtained in the iterations,#for plotting purposes.#Feel free to play with the learning rate and the num_epochs,#and see your results plotted below.deftrainP...
【 深度学习框架:PyTorch1.0现在和未来 】PyTorch 1.0: now and in the future(英文字幕)102 -- 19:55 App 【 Python编程 】Continuous Delivery in Python on a Massive Scale (英文)170 -- 35:28 App 【谷歌 I/O '18开发者大会 Tensorflow 】Distributed TensorFlow training(英文字幕)1387...
Linear Algebra for Deep Learning(深度学习的线性代数) Fitting Neurons with Gradient Descent(梯度下降) Automatic Differentiation with PyTorch(PyTorch 中的自动微分) Logistic Regression and Multi-class Classification(逻辑回归) Multilayer Perceptrons(多层感知器) Regularization(神经网络的正则化方法) Feature Normaliz...
Intro to Deep Learning with Pytorch - Part 1 作者|Purnasai gudikandula 翻译|邓普斯•杰弗、shunshun 校对| 酱番梨 整理 | 菠萝妹 原文链接: https://medium.com/@purnasaigudikandula/intro-to-deep-learning-with-pytorch-part-1-53e111610575 ...
An Introduction to Deep Reinforcement Learning Chapter 1 of the Deep Reinforcement Learning Class with Hugging Face 🤗 ⚠️ A new updated version of this article is available here 👉 https://huggingface.co/deep-rl-course/unit1/introduction This article is part of the Deep...
Gradient Descent: Familiarity with how gradient descent works and its limitations. Mathematics for Deep Learning: Basic calculus (derivatives) and linear algebra (vectors and matrices). Python Programming: Ability to implement neural networks using frameworks like PyTorch or TensorFlow. Pathological Curvatur...
An Introduction to Using Transformers and Hugging Face What is Deep Learning? A Tutorial for Beginners Deep Learning with PyTorch Course Mastering Natural Language Processing (NLP) with PyTorch: Comprehensive Guide Author Javier Canales Luna I am a freelance data analyst, collaborating with companies...