filmov
tv
Basics of Deep Learning Part 3: Implementing the Feedforward Algorithm in pure Python
Показать описание
In this series we are going to cover the basics of deep learning. And in this video we start to implement the feedforward algorithm using just Python.
Links:
If you are wondering why the slides don’t disappear even though I am typing in the jupyter notebook, I used AutoHotkey for that. Here is an article that describes how to use it:
Links:
If you are wondering why the slides don’t disappear even though I am typing in the jupyter notebook, I used AutoHotkey for that. Here is an article that describes how to use it:
0:05:46
Basics of Deep Learning Part 1: Introduction
0:18:40
But what is a neural network? | Chapter 1, Deep learning
0:05:52
Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn
0:18:54
The Essential Main Ideas of Neural Networks
0:20:33
Gradient descent, how neural networks learn | Chapter 2, Deep learning
1:08:06
Deep Learning Basics: Introduction and Overview
0:00:48
Andrew Ng's Secret to Mastering Machine Learning - Part 1 #shorts
0:21:21
Basics of Deep Learning Part 6: Backpropagation explained – Cost Function and Derivatives
0:00:58
Ever wondered how AI masters video games? | AI Learning Techniques Part 3
10:15:28
Learn TensorFlow and Deep Learning fundamentals with Python (code-first introduction) Part 1/2
0:03:39
Introduction | Deep Learning Tutorial 1 (Tensorflow Tutorial, Keras & Python)
0:22:52
Basics of Deep Learning Part 14: How to train a Neural Network
0:14:29
Basics of Deep Learning Part 2: Feedforward Algorithm explained
3:53:53
Machine Learning for Everybody – Full Course
0:07:52
Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn
0:05:45
Neural Network In 5 Minutes | What Is A Neural Network? | How Neural Networks Work | Simplilearn
0:18:29
Basics of Deep Learning Part 9: Backpropagation explained Step by Step
0:18:47
Basics of Deep Learning Part 7: Backpropagation explained – Gradient Descent and Partial Derivatives...
0:06:37
What is Deep Learning? (in 5 Minutes) 🔥🔥
0:13:26
Basics of Deep Learning Part 3: Implementing the Feedforward Algorithm in pure Python
0:58:12
MIT Introduction to Deep Learning (2023) | 6.S191
0:05:49
AI vs Machine Learning
3:57:55
Learn TensorFlow and Deep Learning fundamentals with Python (code-first introduction) Part 2/2
0:10:47
Basics of Deep Learning Part 8: Backpropagation explained – Chain Rule and Sigmoid Function
Комментарии