[FreeCoursesOnline.Me] PacktPub - Deep Learning with Real World Projects [Video]

磁力链接/BT种子名称

[FreeCoursesOnline.Me] PacktPub - Deep Learning with Real World Projects [Video]

磁力链接/BT种子简介

种子哈希：a6c470f088388a0cb7ba0c8ee31b8f13aefc0e97
文件大小： 7.03G
已经下载：6030次
下载速度：极快
收录时间：2021-04-22
最近下载：2024-12-24

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:A6C470F088388A0CB7BA0C8EE31B8F13AEFC0E97
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区 少女初夜 萝莉岛

最近搜索

文件列表

  • 8 - CNN-Transfer Learning/Case Study - Part 1.mp4 203.5 MB
  • 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-1).mp4 179.6 MB
  • 6 - Convolution Neural Networks/Images.mp4 168.9 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 12.mp4 167.2 MB
  • 1 - Introduction/Representations.mp4 165.8 MB
  • 1 - Introduction/Neural Network Playground.mp4 159.5 MB
  • 1 - Introduction/Activation Functions.mp4 158.7 MB
  • 6 - Convolution Neural Networks/Feature Map.mp4 133.8 MB
  • 5 - Regularisation/Introducing Keras.mp4 128.9 MB
  • 1 - Introduction/Training Neural Network - Part 1.mp4 128.5 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-8).mp4 125.9 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 2.mp4 124.5 MB
  • 1 - Introduction/Training Neural Network - Part 3.mp4 116.1 MB
  • 8 - CNN-Transfer Learning/Analysis - Part 1.mp4 115.1 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-5).mp4 114.7 MB
  • 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-2).mp4 110.3 MB
  • 2 - Artificial Neural Networks-Introduction/Understanding Notations.mp4 104.8 MB
  • 8 - CNN-Transfer Learning/Case Study - Part 2.mp4 100.6 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 8.mp4 95.8 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-2).mp4 91.9 MB
  • 6 - Convolution Neural Networks/Weight and Bias.mp4 86.5 MB
  • 1 - Introduction/Multi-Level Perceptrons.mp4 85.5 MB
  • 1 - Introduction/History of Deep learning.mp4 85.4 MB
  • 3 - ANN - Feed Forward Network/Vectorised Methods.mp4 85.3 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 9.mp4 85.0 MB
  • 6 - Convolution Neural Networks/Convolution - Part 2.mp4 83.4 MB
  • 6 - Convolution Neural Networks/Idea behind CNN - Part 2.mp4 79.6 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 14.mp4 78.8 MB
  • 8 - CNN-Transfer Learning/AlexNet.mp4 77.4 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 6.mp4 75.6 MB
  • 6 - Convolution Neural Networks/Pooling.mp4 74.0 MB
  • 1 - Introduction/Introduction.mp4 68.8 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 11.mp4 64.7 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-7).mp4 62.9 MB
  • 3 - ANN - Feed Forward Network/Understanding Dimensions.mp4 61.5 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-4).mp4 59.9 MB
  • 1 - Introduction/Training Neural Network - Part 2.mp4 59.5 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 10.mp4 59.5 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case-study (Part-1).mp4 58.9 MB
  • 6 - Convolution Neural Networks/Applications for CNN.mp4 57.1 MB
  • 2 - Artificial Neural Networks-Introduction/Input Layer.mp4 56.2 MB
  • 6 - Convolution Neural Networks/Combining Network.mp4 55.8 MB
  • 5 - Regularisation/Batch Normalisation - Part 3.mp4 53.1 MB
  • 3 - ANN - Feed Forward Network/Introduction.mp4 52.9 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 3.mp4 52.6 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 1.mp4 52.0 MB
  • 2 - Artificial Neural Networks-Introduction/Neural Networks.mp4 51.7 MB
  • 5 - Regularisation/Introduction to Regularisation.mp4 51.4 MB
  • 8 - CNN-Transfer Learning/GoogleNet.mp4 51.1 MB
  • 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-3).mp4 51.0 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 4.mp4 50.9 MB
  • 4 - Back Propagation/Back Propagation Training - Part 1.mp4 48.8 MB
  • 8 - CNN-Transfer Learning/Analysis - Part 2.mp4 48.2 MB
  • 6 - Convolution Neural Networks/Idea behind CNN - Part 1.mp4 48.1 MB
  • 2 - Artificial Neural Networks-Introduction/Assumptions in Neural Networks.mp4 48.0 MB
  • 5 - Regularisation/Introducing TensorFlow.mp4 47.6 MB
  • 2 - Artificial Neural Networks-Introduction/Example for Perceptron.mp4 47.2 MB
  • 7 - CNN-Keras/VGG16 (Visual Geometry Group).mp4 46.8 MB
  • 8 - CNN-Transfer Learning/Introduction.mp4 46.8 MB
  • 4 - Back Propagation/Introducing Loss Function.mp4 46.3 MB
  • 3 - ANN - Feed Forward Network/Bidirectional RNN.mp4 45.6 MB
  • 6 - Convolution Neural Networks/Convolution - Part 1.mp4 45.5 MB
  • 6 - Convolution Neural Networks/Introduction.mp4 45.0 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-3).mp4 44.7 MB
  • 2 - Artificial Neural Networks-Introduction/Activation Functions.mp4 43.9 MB
  • 3 - ANN - Feed Forward Network/Pseudocode.mp4 42.6 MB
  • 14 - Text generation using RNN/Text Generation - Code generator case- study (Part-4).mp4 42.0 MB
  • 6 - Convolution Neural Networks/Video.mp4 41.9 MB
  • 8 - CNN-Transfer Learning/Transfer Learning - Part 4.mp4 41.8 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 5.mp4 41.2 MB
  • 8 - CNN-Transfer Learning/Case Study - Part 3.mp4 41.0 MB
  • 4 - Back Propagation/SGD.mp4 40.8 MB
  • 4 - Back Propagation/Back Propagation Training - Part 2.mp4 39.9 MB
  • 2 - Artificial Neural Networks-Introduction/Multi Classifier.mp4 39.7 MB
  • 1 - Introduction/Perceptrons.mp4 39.5 MB
  • 5 - Regularisation/Batch Normalisation - Part 2.mp4 39.4 MB
  • 8 - CNN-Transfer Learning/Transfer Learning - Part 6.mp4 38.1 MB
  • 5 - Regularisation/Batch Normalisation - Part 1.mp4 37.8 MB
  • 3 - ANN - Feed Forward Network/Online Offline Mode.mp4 37.8 MB
  • 7 - CNN-Keras/Practical on CNN - Case Study - Part 3.mp4 37.8 MB
  • 4 - Back Propagation/Introduction.mp4 37.1 MB
  • 8 - CNN-Transfer Learning/Transfer Learning - Part 3.mp4 37.0 MB
  • 4 - Back Propagation/Back Propagation Training - Part 5.mp4 36.4 MB
  • 4 - Back Propagation/Back Propagation Training - Part 4.mp4 36.4 MB
  • 6 - Convolution Neural Networks/Stride and Padding.mp4 35.8 MB
  • 2 - Artificial Neural Networks-Introduction/Training in Neural Networks.mp4 34.3 MB
  • 8 - CNN-Transfer Learning/ResNet - Part 1.mp4 33.9 MB
  • 2 - Artificial Neural Networks-Introduction/Perceptron for Classifiers.mp4 33.5 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 13.mp4 33.3 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-9).mp4 32.4 MB
  • 2 - Artificial Neural Networks-Introduction/Perceptron in Depth.mp4 32.2 MB
  • 2 - Artificial Neural Networks-Introduction/Perceptron.mp4 31.1 MB
  • 11 - Recurrent Neural Networks - Introduction/Simplified Notations.mp4 30.8 MB
  • 11 - Recurrent Neural Networks - Introduction/RNN Formula.mp4 30.6 MB
  • 2 - Artificial Neural Networks-Introduction/Deep Learning.mp4 30.4 MB
  • 4 - Back Propagation/Back Propagation Training - Part 9.mp4 30.4 MB
  • 3 - ANN - Feed Forward Network/Pseudocode for Batch.mp4 30.2 MB
  • 7 - CNN-Keras/Practical on CNN - Case Study - Part 2.mp4 29.7 MB
  • 8 - CNN-Transfer Learning/ResNet - Part 2.mp4 29.5 MB
  • 8 - CNN-Transfer Learning/Transfer Learning - Part 5.mp4 28.4 MB
  • 12 - Recurrent Neural Networks - LSTM/Gated Recurrent Network (GRU).mp4 28.3 MB
  • 4 - Back Propagation/Back Propagation Training - Part 8.mp4 28.3 MB
  • 2 - Artificial Neural Networks-Introduction/Understanding Human Brain.mp4 27.9 MB
  • 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 5.mp4 27.9 MB
  • 2 - Artificial Neural Networks-Introduction/Sigmoid function.mp4 27.8 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Working with Flower Images - Case Study - Part 7.mp4 27.6 MB
  • 4 - Back Propagation/Sigmoid Function.mp4 27.2 MB
  • 13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/Part-Of-Speech Tagger case- study (Part-6).mp4 26.9 MB
  • 5 - Regularisation/Dropouts Part 1.mp4 25.4 MB
  • 2 - Artificial Neural Networks-Introduction/Introduction.mp4 25.1 MB
  • 2 - Artificial Neural Networks-Introduction/Homogeneous Co-ordinate.mp4 24.8 MB
  • 4 - Back Propagation/Back Propagation Training - Part 6.mp4 24.4 MB
  • 4 - Back Propagation/Back Propagation Training - Part 10.mp4 24.2 MB
  • 4 - Back Propagation/Training for Batches.mp4 23.9 MB
  • 11 - Recurrent Neural Networks - Introduction/Architecture.mp4 23.6 MB
  • 11 - Recurrent Neural Networks - Introduction/Vanishing Gradient.mp4 22.4 MB
  • 4 - Back Propagation/Back Propagation Training - Part 7.mp4 21.6 MB
  • 2 - Artificial Neural Networks-Introduction/Understanding MNIST.mp4 21.4 MB
  • 8 - CNN-Transfer Learning/Transfer Learning - Part 2.mp4 20.8 MB
  • 9 - CNN-Industry Live Project - Playing..Natural Images/Introduction.mp4 20.6 MB
  • 12 - Recurrent Neural Networks - LSTM/LSTM - Part 5.mp4 20.6 MB
  • 6 - Convolution Neural Networks/Formulas.mp4 19.5 MB
  • 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 6.mp4 19.2 MB
  • 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 4.mp4 19.2 MB
  • 11 - Recurrent Neural Networks - Introduction/One-to-Many.mp4 18.3 MB
  • 6 - Convolution Neural Networks/Padding.mp4 15.9 MB
  • 4 - Back Propagation/Back Propagation Training - Part 3.mp4 15.5 MB
  • 12 - Recurrent Neural Networks - LSTM/Bidirectional RNN.mp4 15.0 MB
  • 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 3.mp4 14.8 MB
  • 2 - Artificial Neural Networks-Introduction/Output Layer.mp4 14.8 MB
  • 11 - Recurrent Neural Networks - Introduction/Introduction to RNN.mp4 14.1 MB
  • 5 - Regularisation/Dropouts Part 2.mp4 14.1 MB
  • 11 - Recurrent Neural Networks - Introduction/Types of RNN - Part 2.mp4 13.9 MB
  • 7 - CNN-Keras/Practical on CNN - Case Study - Part 4.mp4 13.9 MB
  • 4 - Back Propagation/Pseudocode.mp4 13.3 MB
  • 11 - Recurrent Neural Networks - Introduction/Training RNN.mp4 12.2 MB
  • 12 - Recurrent Neural Networks - LSTM/LSTM - Part 4.mp4 12.1 MB
  • 10 - CNN-Industry Live Project - Find..Save Life/Introduction.mp4 11.4 MB
  • 4 - Back Propagation/Finding Global Minima.mp4 10.8 MB
  • 7 - CNN-Keras/Practical on CNN - Case Study - Part 1.mp4 10.8 MB
  • 12 - Recurrent Neural Networks - LSTM/Online Offline Mode.mp4 10.7 MB
  • 11 - Recurrent Neural Networks - Introduction/RNN - Part 1.mp4 10.3 MB
  • 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 1.mp4 9.5 MB
  • 10 - CNN-Industry Live Project - Find..Save Life/Working with X-Ray images - Case Study - Part 2.mp4 9.2 MB
  • 11 - Recurrent Neural Networks - Introduction/Batch data.mp4 8.9 MB
  • 12 - Recurrent Neural Networks - LSTM/LSTM Equation.mp4 8.9 MB
  • 7 - CNN-Keras/Introduction.mp4 8.1 MB
  • 12 - Recurrent Neural Networks - LSTM/LSTM - Part 1.mp4 8.0 MB
  • 7 - CNN-Keras/Practical on CNN - Case Study - Part 5.mp4 7.9 MB
  • 8 - CNN-Transfer Learning/Transfer Learning - Part 1.mp4 7.8 MB
  • 11 - Recurrent Neural Networks - Introduction/Types of RNN - Part 1.mp4 7.8 MB
  • 11 - Recurrent Neural Networks - Introduction/RNN Part 2.mp4 6.7 MB
  • 12 - Recurrent Neural Networks - LSTM/LSTM - Part 2.mp4 6.3 MB
  • 12 - Recurrent Neural Networks - LSTM/Introduction.mp4 4.6 MB
  • 12 - Recurrent Neural Networks - LSTM/LSTM - Part 3.mp4 4.4 MB
  • 1 - Introduction/Code Password.mp4 737.1 kB
  • 0. Websites you may like/0. (1Hack.Us) Premium Tutorials-Guides-Articles & Community based Forum.url 377 Bytes
  • 0. Websites you may like/1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url 286 Bytes
  • 0. Websites you may like/3. (FTUApps.com) Download Cracked Developers Applications For Free.url 239 Bytes
  • 0. Websites you may like/How you can help our Group!.txt 208 Bytes
  • 0. Websites you may like/2. (NulledPremium.com) Download E-Learning, E-Books, Audio-Books, & more.etc.url 163 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
>