У нас вы можете посмотреть бесплатно Machine Learning in JUST ONE LINE OF CODE | Libra | Python # 12 или скачать в максимальном доступном качестве, которое было загружено на ютуб. Для скачивания выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса savevideohd.ru
Let's reach 100K subscribers 👉🏻 https://l-ink.me/SubscribeBazzi Libra allows you to build and train all sorts of machine learning models in ONE LINE OF CODE. 📚About We will build two neural networks (each using one line of code) where both aim at estimating California Housing Prices. The California Housing Prices dataset is found on Kaggle and is also using in the Chapter 2 of Aurélien Géron's book entitled 'Hands-On Machine learning with Scikit-Learn and TensorFlow'. 📖 Related Content Libra website: https://github.com/Palashio/libra/ California Housing Prices Dataset: https://www.kaggle.com/camnugent/cali... Learn more about performance measures: • Performance Measures - Machine Learni... Pandas: https://pandas.pydata.org/ Google Chrome: https://www.google.com/chrome/ Jupyter notebook: https://jupyter.org/ Kaggle: https://www.kaggle.com/ ⏲Outline 00:00 Introduction 01:16 Installing Libra 02:23 Importing the California Housing Prices dataset 03:12 Creating a client object 03:55 Exploring the California Housing Prices dataset with Pandas 04:53 Neural Network training in one line 06:32 Analyzing the neural network in one line 07:55 Accuracy of the neural network in one line 08:27 Losses of the neural network in one line 08:46 Training Median of California Housing Prices in one line 10:46 Outro 💰Support My Channel Through Patreon: / ahmadbazzi 💰One-Time Contribution Through PayPal: https://www.paypal.me/donationlink240 💰Cryptocurrency Donations: Bitcoin Wallet - 327qhzF7yxQa2CiyL1Vnd63ccuMyAH1Ss9 🔴 Subscribe for more videos on Machine Learning and Python. 👍 Smash that like button, in case you find this tutorial useful. 👁🗨 Speak up and comment, I am all ears. #Libra #MachineLearning #NeuralNetwork