37940 356 4

Neural Networks Demystified [Part 1: Data and Architecture]

 

---

37940 356 4

Programming rayalez

2721 71 0

Simple Exercise

 

---

2721 71 0

Programming rayalez

3284 58 0

Introduction to Hy - Lisp in Python

 

---

3284 58 0

Tutorials Programming rayalez

30724 55 6

Part 2: Forward Propagation

 

---

30724 55 6

Programming Neural Networks Demystified

18600 48 1

Part 3: Gradient Descent

 

---

18600 48 1

Programming Neural Networks Demystified

5249 42 1

Emacs Rocks! Episode 01: From var to this

 

---

5249 42 1

Programming Emacs Rocks!

17335 23 2

Part 4: Backpropagation

 

---

17335 23 2

Programming Neural Networks Demystified

8716 18 0

Part 7: Overfitting, Testing, and Regularization

 

---

8716 18 0

Programming Neural Networks Demystified

9683 17 0

Part 5: Numerical Gradient Checking

 

---

9683 17 0

Programming Neural Networks Demystified

8263 14 0

Part 6: Training

 

---

8263 14 0

Programming Neural Networks Demystified

1273 0 0

Machine learning - overview and applications

[Video by mathematicalmonk](https:/...

---

1273 0 0

Programming mathematicalmonk

1675 0 0

Emacs Rocks! Episode 15: restclient-mode

 

---

1675 0 0

Programming Emacs Rocks!

1471 0 0

Emacs Rocks! Episode 14: Paredit

 

---

1471 0 0

Programming Emacs Rocks!

1417 0 0

Emacs Rocks! Episode 13: multiple-cursors

 

---

1417 0 0

Programming Emacs Rocks!

1332 0 0

Emacs Rocks! Episode 12: Working with HTML

 

---

1332 0 0

Programming Emacs Rocks!