PyTorch Basics and Gradient Descent | Deep Learning with PyTorch (1/6)
A beginner-friendly approach to PyTorch basics: tensors, gradients, and autograd along with Linear regression & gradient descent from scratch and working with & modules. This lecture is part 1/6 of the Deep Learning with PyTorch Free Certification course. To learn more visit
Time Breaks:
00:00 Introduction
04:45 PyTorch Basics and Gradients
05:47 Tensors
16:31 Tensor
7 views
8
1
3 months ago 01:29:14 1
PyTorch. Основы нейросети. Теория и практика для начинающих
6 months ago 02:05:24 1
Deep Learning with PyTorch Live Course - Tensors, Gradient Descent & Linear Regression (Part 1 of 6)
6 months ago 01:56:20 1
Let’s build GPT: from scratch, in code, spelled out.
7 months ago 02:25:52 5
The spelled-out intro to neural networks and backpropagation: building micrograd
8 months ago 00:03:24 1
JAX in 100 Seconds
9 months ago 00:25:56 1
BSLIVE Basic Semantic Segmentation AI Implementation Using Blender and ControlNet
10 months ago 00:32:57 1
Building Recommender System with GNN - Part1: Intro to GNN
11 months ago 00:40:50 1
Lecture - Perception and Learning for Robotics - Best Practices ML-Project
1 year ago 01:15:40 1
Building makemore Part 2: MLP
1 year ago 00:02:44 1
How to learn AI and ML in 2024 - A complete roadmap
1 year ago 00:08:10 22
Unity Sentis - запускаем модели PyTorch и Tensorflow на Unity в Runtime
1 year ago 01:22:52 1
Plotly Tutorial 2023
1 year ago 00:14:25 1
What is Automatic Differentiation?
1 year ago 01:38:34 1
Python + PyTorch + Pygame Reinforcement Learning – Train an AI to Play Snake