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Software Development & Programming
Deep Learning Fundamentals – Neural Networks from Scratch
Quick Tour of Jupyter/iPython Notebooks (C1W2L17)

Quick Tour of Jupyter/iPython Notebooks (C1W2L17)

Deep Learning Fundamentals – Neural Networks from Scratch

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
43 درس
05:32 Welcome (Deep Learning Specialization C1W1L01)
07:17 What is a Neural Network? (C1W1L02)
08:29 Supervised Learning with a Neural Network (C1W1L03)
10:22 Why is deep learning taking off? (C1W1L04)
02:28 About This Course (C1W1L05)
01:56 Course Resources (C1W1L06)
08:24 Binary Classification (C1W2L01)
06:00 Logistic Regression (C1W2L02)
08:12 Logistic Regression Cost Function (C1W2L03)
11:24 Gradient Descent (C1W2L04)
07:11 Derivatives (C1W2L05)
10:28 More Derivative Examples (C1W2L06)
03:34 Computation Graph (C1W2L07)
14:34 Derivatives With Computation Graphs (C1W2L08)
06:43 Logistic Regression Gradient Descent (C1W2L09)
08:01 Gradient Descent on m Examples (C1W2L10)
08:05 Vectorization (C1W2L11)
06:20 More Vectorization Examples (C1W2L12)
07:33 Vectorizing Logistic Regression (C1W2L13)
09:38 Vectorizing Logistic Regression's Gradient Computation (C1W2L14)
11:06 Broadcasting in Python (C1W2L15)
06:50 A Note on Python/Numpy Vectors (C1W2L16)
03:44 Quick Tour of Jupyter/iPython Notebooks (C1W2L17)
07:15 Explanation of Logistic Regression's Cost Function (C1W2L18)
04:27 Neural Network Overview (C1W3L01)
05:15 Neural Network Representations (C1W3L02)
09:58 Computing Neural Network Output (C1W3L03)
09:06 Vectorizing Across Multiple Examples (C1W3L04)
07:38 Explanation For Vectorized Implementation (C1W3L05)
10:57 Activation Functions (C1W3L06)
05:36 Why Non-linear Activation Functions (C1W3L07)
07:58 Derivatives Of Activation Functions (C1W3L08)
09:58 Gradient Descent For Neural Networks (C1W3L09)
15:49 Backpropagation Intuition (C1W3L10)
07:58 Random Initialization (C1W3L11)
05:51 Deep L-Layer Neural Network (C1W4L01)
07:16 Forward Propagation in a Deep Network (C1W4L02)
11:10 Getting Matrix Dimensions Right (C1W4L03)
10:34 Why Deep Representations? (C1W4L04)
08:34 Building Blocks of a Deep Neural Network (C1W4L05)
10:30 Forward and Backward Propagation (C1W4L06)
07:17 Parameters vs Hyperparameters (C1W4L07)
03:18 What does this have to do with the brain? (C1W4L08)