Deep Learning With PyTorch - Full Course
In this course you learn all the fundamentals to get started with PyTorch and Deep Learning.
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Chapters (18)
Intro
1:42
1 Installation
7:30
2 Tensor Basics
26:02
3 Autograd
42:00
4 Backpropagation
55:18
5 Gradient Descent
1:12:53
6 Training Pipeline
1:27:14
7 Linear Regression
1:39:30
8 Logistic Regression
1:57:56
9 Dataset and Dataloader
2:13:28
10 Dataset Transforms
2:24:14
11 Softmax and Crossentropy
2:42:36
12 Activation Functions
2:52:40
13 Feed Forward Net
3:14:18
14 CNN
3:36:30
15 Transfer Learning
3:51:30
16 Tensorboard
4:17:14
17 Save & Load Models
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Lists in Python - Advanced Python 01 - Programming Tutorial
Patrick Loeber
Tuples in Python - Advanced Python 02 - Programming Tutorial
Patrick Loeber
Dictionaries in Python - Advanced Python 03 - Programming Tutorial
Patrick Loeber
Sets in Python - Advanced Python 04 - Programming Tutorial
Patrick Loeber
Strings in Python - Advanced Python 05 - Programming Tutorial
Patrick Loeber
Collections in Python - Advanced Python 06 - Programming Tutorial
Patrick Loeber
Itertools in Python - Advanced Python 07 - Programming Tutorial
Patrick Loeber
Lambda in Python - Advanced Python 08 - Programming Tutorial - Map Filter Reduce
Patrick Loeber
Exceptions in Python - Advanced Python 09 - Programming Tutorial
Patrick Loeber
Logging in Python - Advanced Python 10 - Programming Tutorial
Patrick Loeber
JSON in Python - Advanced Python 11 - Programming Tutorial
Patrick Loeber
Random Numbers in Python - Advanced Python 12 - Programming Tutorial
Patrick Loeber
Decorators in Python - Advanced Python 13 - Programming Tutorial
Patrick Loeber
Generators in Python - Advanced Python 14 - Programming Tutorial
Patrick Loeber
Threading vs Multiprocessing in Python - Advanced Python 15 - Programming Tutorial
Patrick Loeber
Threading in Python - Advanced Python 16 - Programming Tutorial
Patrick Loeber
Multiprocessing in Python - Advanced Python 17 - Programming Tutorial
Patrick Loeber
Function arguments in detail - Advanced Python 18 - Programming Tutorial
Patrick Loeber
The asterisk (*) operator in Python - Advanced Python 19 - Programming Tutorial
Patrick Loeber
Shallow vs Deep Copying in Python - Advanced Python 20 - Programming Tutorial
Patrick Loeber
Context Managers in Python - Advanced Python 21 - Programming Tutorial
Patrick Loeber
KNN (K Nearest Neighbors) in Python - Machine Learning From Scratch 01 - Python Tutorial
Patrick Loeber
Linear Regression in Python - Machine Learning From Scratch 02 - Python Tutorial
Patrick Loeber
Logistic Regression in Python - Machine Learning From Scratch 03 - Python Tutorial
Patrick Loeber
Linear and Logistic Regression in 60 lines of Python - Machine Learning From Scratch 04
Patrick Loeber
Naive Bayes in Python - Machine Learning From Scratch 05 - Python Tutorial
Patrick Loeber
Perceptron in Python - Machine Learning From Scratch 06 - Python Tutorial
Patrick Loeber
SVM (Support Vector Machine) in Python - Machine Learning From Scratch 07 - Python Tutorial
Patrick Loeber
Decision Tree in Python Part 1/2 - Machine Learning From Scratch 08 - Python Tutorial
Patrick Loeber
Decision Tree in Python Part 2/2 - Machine Learning From Scratch 09 - Python Tutorial
Patrick Loeber
Random Forest in Python - Machine Learning From Scratch 10 - Python Tutorial
Patrick Loeber
PCA (Principal Component Analysis) in Python - Machine Learning From Scratch 11 - Python Tutorial
Patrick Loeber
K-Means Clustering in Python - Machine Learning From Scratch 12 - Python Tutorial
Patrick Loeber
Anaconda Tutorial - Installation and Basic Commands
Patrick Loeber
PyTorch Tutorial 01 - Installation
Patrick Loeber
PyTorch Tutorial 02 - Tensor Basics
Patrick Loeber
PyTorch Tutorial 03 - Gradient Calculation With Autograd
Patrick Loeber
PyTorch Tutorial 04 - Backpropagation - Theory With Example
Patrick Loeber
PyTorch Tutorial 05 - Gradient Descent with Autograd and Backpropagation
Patrick Loeber
PyTorch Tutorial 06 - Training Pipeline: Model, Loss, and Optimizer
Patrick Loeber
PyTorch Tutorial 07 - Linear Regression
Patrick Loeber
PyTorch Tutorial 08 - Logistic Regression
Patrick Loeber
PyTorch Tutorial 09 - Dataset and DataLoader - Batch Training
Patrick Loeber
PyTorch Tutorial 10 - Dataset Transforms
Patrick Loeber
Download Images With Python Automatically - Python Web Scraping Tutorial
Patrick Loeber
PyTorch Tutorial 11 - Softmax and Cross Entropy
Patrick Loeber
Select Movies with Python - Web Scraping Tutorial
Patrick Loeber
PyTorch Tutorial 12 - Activation Functions
Patrick Loeber
List Comprehension in Python - A Python Feature You MUST KNOW - Python Tutorial
Patrick Loeber
PyTorch Tutorial 13 - Feed-Forward Neural Network
Patrick Loeber
How To Add A Progress Bar In Python With Just One Line - Python Tutorial
Patrick Loeber
PyTorch Tutorial 14 - Convolutional Neural Network (CNN)
Patrick Loeber
The Walrus Operator - New in Python 3.8 - Python Tutorial
Patrick Loeber
PyTorch Tutorial 15 - Transfer Learning
Patrick Loeber
YouTube Data API Tutorial with Python - Analyze Channel Statistics - Part 1
Patrick Loeber
YouTube Data API Tutorial with Python - Find Channel Videos - Part 2
Patrick Loeber
YouTube Data API Tutorial with Python - Get Video Statistics - Part 3
Patrick Loeber
YouTube Data API Tutorial with Python - Analyze the Data - Part 4
Patrick Loeber
AdaBoost in Python - Machine Learning From Scratch 13 - Python Tutorial
Patrick Loeber
Ultimate FREE Study Guide for Machine Learning and Deep Learning
Patrick Loeber
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