PyTorch Speed Comparison: NVIDIA 3070 GPU vs Apple M3 CPU vs Apple GPU
9:03
PyTorch Speed Comparison: NVIDIA 3070 GPU vs Apple M3 CPU vs Apple GPU
Python Basics 10: Functions
27:22
Python Basics 10: Functions
Python Basics 9: Boolean Logic (AND / OR / NOT)
14:34
Python Basics 9: Boolean Logic (AND / OR / NOT)
Python Basics 8: While Loops
9:15
Python Basics 8: While Loops
Python Basics 7: For Loops
19:16
Python Basics 7: For Loops
Python Basics 6: Lists
8:28
Python Basics 6: Lists
Python Basics 5: User Input
16:53
Python Basics 5: User Input
Python Basics 4: If Statements
10:12
Python Basics 4: If Statements
Python Basics 3: Data Types
18:58
Python Basics 3: Data Types
Basic Python 2: Variables
9:00
Basic Python 2: Variables
Basic Python 1: Installing Python and Writing Our First Program
14:32
Basic Python 1: Installing Python and Writing Our First Program
Neural Nets from Scratch in Julia [PART 18]: Solving MNIST
57:34
Neural Nets from Scratch in Julia [PART 18]: Solving MNIST
Neural Nets from Scratch in Julia [PART 17]: Softmax Activation / Crossentropy Loss (2)
30:38
Neural Nets from Scratch in Julia [PART 17]: Softmax Activation / Crossentropy Loss (2)
Neural Nets from Scratch in Julia [PART 16]: Softmax Activation / Crossentropy Loss
38:59
Neural Nets from Scratch in Julia [PART 16]: Softmax Activation / Crossentropy Loss
Neural Nets from Scratch in Julia [PART 15]: Tensor ReLU Function
12:35
Neural Nets from Scratch in Julia [PART 15]: Tensor ReLU Function
Neural Nets from Scratch in Julia [PART 14]: Tensor Addition
17:45
Neural Nets from Scratch in Julia [PART 14]: Tensor Addition
Neural Nets from Scratch in Julia [PART 13]: Tensor Matrix Multiplication
18:23
Neural Nets from Scratch in Julia [PART 13]: Tensor Matrix Multiplication
Neural Nets from Scratch in Julia [PART 12]: Adding Tensor Functionality
12:53
Neural Nets from Scratch in Julia [PART 12]: Adding Tensor Functionality
Neural Nets from Scratch in Julia [PART 11]: Defining Tensor Type
23:02
Neural Nets from Scratch in Julia [PART 11]: Defining Tensor Type
Neural Nets from Scratch in Julia [PART 10]: Value Tanh Function
17:55
Neural Nets from Scratch in Julia [PART 10]: Value Tanh Function
Neural Nets from Scratch in Julia [PART 9]: Value Inversion and Division
18:38
Neural Nets from Scratch in Julia [PART 9]: Value Inversion and Division
Neural Nets from Scratch in Julia [PART 8]: Value Negation and Subtraction
10:04
Neural Nets from Scratch in Julia [PART 8]: Value Negation and Subtraction
Neural Nets from Scratch in Julia [PART 7]: Value Multiplication
20:40
Neural Nets from Scratch in Julia [PART 7]: Value Multiplication
Neural Nets from Scratch in Julia [PART 6]: Adding Robustness
6:49
Neural Nets from Scratch in Julia [PART 6]: Adding Robustness
Neural Nets from Scratch in Julia [PART 5]: Backpropagation for Addition (2)
32:05
Neural Nets from Scratch in Julia [PART 5]: Backpropagation for Addition (2)
Neural Nets from Scratch in Julia [PART 4]: Backpropagation for Addition
31:05
Neural Nets from Scratch in Julia [PART 4]: Backpropagation for Addition
Neural Nets from Scratch in Julia [PART 3]: Value Addition
18:57
Neural Nets from Scratch in Julia [PART 3]: Value Addition
Neural Nets from Scratch in Julia [PART 2]: Defining Value Type
19:18
Neural Nets from Scratch in Julia [PART 2]: Defining Value Type
Neural Nets from Scratch in Julia [PART 1]: Introduction
16:12
Neural Nets from Scratch in Julia [PART 1]: Introduction
How to Make a Job History Timeline with Python/Matplotlib
17:48
How to Make a Job History Timeline with Python/Matplotlib