01.神经网络和深度学习 - 夸克搜-夸克资源搜索引擎
- 4.6 前向和反向传播.mkv
- 4.8 这和大脑有什么关系？.mkv
- 【4.7课件】_parameters-vs-hyperparameters_C1W4L05.pptx
- 4.1 深层神经网络.mkv
- 【4.3课件】_getting-your-matrix-dimensions-right_C1W4L02.pptx
- 【4.4课件】_why-deep-representations_C1W4L03.pptx
- 第四周quiz小测验.pdf
- 【4.6课件】_forward-and-backward-propagation_C1W4L06_ForwardBackProp_annotated.pdf
- 4.3 核对矩阵的维数.mkv
- 【2.16课件】_a-note-on-python-numpy-vectors_C1W2L09_2.05.53_PM.pptx
- 【2.9课件】_logistic-regression-gradient-descent_C1W2L06.pptx
- 【2.1课件】_binary-classification_C1W2L01.pptx
- 2.10 m 个样本的梯度下降.mkv
- 【2.3课件】_logistic-regression-cost-function_Logistic_Regression_Cost_Function.pdf
- 2.13 向量化 logistic 回归.mkv
- 2.17 Jupyter _ ipython 笔记本的快速指南.mkv
- 【1.3课件】Supervised Learning with Neural Networks-Lecture Notes.pdf
- 【1.4课件】Why is Deep Learning taking off-Lecture Notes.pdf
- 1.4 为什么深度学习会兴起？.mkv
- 【1.5课件】About this Course.pptx
- 【1.2课件】What is a neural network.pptx
- 1.6 课程资源.mkv
- 2. 吴恩达采访 Pieter Abbeel.mkv
- 3. 吴恩达采访 Ian Goodfellow.mkv
- 1. 吴恩达采访 Geoffrey Hinton.mkv
- 3.11 随机初始化.mkv
- 【3.10课件】_backpropagation-intuition-optional_C1W3L08.pptx
- 3.7 为什么需要非线性激活函数？.mkv
- 3.4 多个例子中的向量化.mkv
- 【3.9课件】_gradient-descent-for-neural-networks_C1W3L07.pptx
- 【3.8课件】_derivatives-of-activation-functions_C1W3L06.pptx
- 作业_Building your Deep Neural Network Step by Step.pdf
- 作业_Deep Neural Network - Application.pdf
- 第二周作业02选修.pdf
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