Neural Networks and Deep Learning (Course 1 of the Deep Learning Specialization)

course description

1.

5:32

Welcome (Deep Learning Specialization C1W1L01)
2.

7:17

What is a Neural Network? (C1W1L02)
3.

8:29

Supervised Learning with a Neural Network (C1W1L03)
4.

10:22

Why is deep learning taking off? (C1W1L04)
5.

2:28

About This Course (C1W1L05)
6.

1:56

Course Resources (C1W1L06)
7.

8:24

Binary Classification (C1W2L01)
8.

6:00

Logistic Regression (C1W2L02)
9.

8:12

Logistic Regression Cost Function (C1W2L03)
10.

11:24

Gradient Descent (C1W2L04)
11.

7:11

Derivatives (C1W2L05)
12.

10:28

More Derivative Examples (C1W2L06)
13.

3:34

Computation Graph (C1W2L07)
14.

14:34

Derivatives With Computation Graphs (C1W2L08)
15.

6:43

Logistic Regression Gradient Descent (C1W2L09)
16.

8:01

Gradient Descent on m Examples (C1W2L10)
17.

8:05

Vectorization (C1W2L11)
18.

6:20

More Vectorization Examples (C1W2L12)
19.

7:33

Vectorizing Logistic Regression (C1W2L13)
20.

9:38

Vectorizing Logistic Regression's Gradient Computation (C1W2L14)
21.

11:06

Broadcasting in Python (C1W2L15)
22.

6:50

A Note on Python/Numpy Vectors (C1W2L16)
23.

3:44

Quick Tour of Jupyter/iPython Notebooks (C1W2L17)
24.

7:15

Explanation of Logistic Regression's Cost Function (C1W2L18)
25.

4:27

Neural Network Overview (C1W3L01)
26.

5:15

Neural Network Representations (C1W3L02)
27.

9:58

Computing Neural Network Output (C1W3L03)
28.

9:06

Vectorizing Across Multiple Examples (C1W3L04)
29.

7:38

Explanation For Vectorized Implementation (C1W3L05)
30.

10:57

Activation Functions (C1W3L06)
31.

5:36

Why Non-linear Activation Functions (C1W3L07)
32.

7:58

Derivatives Of Activation Functions (C1W3L08)
33.

9:58

Gradient Descent For Neural Networks (C1W3L09)
34.

15:49

Backpropagation Intuition (C1W3L10)
35.

7:58

Random Initialization (C1W3L11)
36.

5:51

Deep L-Layer Neural Network (C1W4L01)
37.

7:16

Forward Propagation in a Deep Network (C1W4L02)
38.

11:10

Getting Matrix Dimensions Right (C1W4L03)
39.

10:34

Why Deep Representations? (C1W4L04)
40.

8:34

Building Blocks of a Deep Neural Network (C1W4L05)
41.

10:30

Forward and Backward Propagation (C1W4L06)
42.

7:17

Parameters vs Hyperparameters (C1W4L07)
43.

3:18

What does this have to do with the brain? (C1W4L08)