filePython-Deep-Learning-for-1okl6

Python Deep Learning for Beginners FCO
  • MP41.Understanding Deep Learning\\/01.The Course Overview.mp46.14MB
  • MP41.Understanding Deep Learning\\/02.A Brief History of Deep Learning.mp45.11MB
  • MP41.Understanding Deep Learning\\/03.Deep Learning Today.mp411.55MB
  • MP41.Understanding Deep Learning\\/04.Tools Requirements and Setup.mp419.99MB
  • MP42.Building the Basic Blocks of chine Learning\\/05.Exploring Supervised Learning.mp43.80MB
  • MP42.Building the Basic Blocks of chine Learning\\/06.Representational Learning and Feature Engineering.mp48.42MB
  • MP42.Building the Basic Blocks of chine Learning\\/07.Linear Regression.mp418.88MB
  • MP42.Building the Basic Blocks of chine Learning\\/08.The Perceptron.mp414.04MB
  • MP43.Diving into Deep Neural Networks\\/09.Feedforward Networks.mp48.50MB
  • MP43.Diving into Deep Neural Networks\\/10.Backpropagation.mp410.39MB
  • MP43.Diving into Deep Neural Networks\\/11.Neural Networks from Scratch.mp48.99MB
  • MP43.Diving into Deep Neural Networks\\/12.Overfitting and Regularization.mp47.55MB
  • MP44.Discovering Convolutional Neural Networks (CNNs)\\/13.Understanding CNNs.mp413.46MB
  • MP44.Discovering Convolutional Neural Networks (CNNs)\\/14.Implementing a CNN.mp415.62MB
  • MP44.Discovering Convolutional Neural Networks (CNNs)\\/15.Deep CNNs.mp414.16MB
  • MP45.Using CNNs to Solve Increasingly Complex Tasks\\/16.Very Deep CNNs.mp410.16MB
  • MP45.Using CNNs to Solve Increasingly Complex Tasks\\/17.Batch Norlization.mp47.47MB
  • MP45.Using CNNs to Solve Increasingly Complex Tasks\\/18.Fine-Tuning.mp411.98MB
  • MP46.Learning about Detection and Segmentation\\/19.Sentic Segmentation.mp49.27MB
  • MP46.Learning about Detection and Segmentation\\/20.Fully Convolutional Networks.mp412.60MB
  • MP47.Exploring Recurrent Neural Networks\\/21.Recurrent Neural Networks.mp417.05MB
  • MP47.Exploring Recurrent Neural Networks\\/22.LSTM and Advancements.mp412.42MB
  • MP48.ob<x>ject Detection Using CNNs\\/23.Building a CNN to Detect General Iges.mp419.04MB
  • MP48.ob<x>ject Detection Using CNNs\\/24.Training and Deploying on a Cluster.mp414.46MB
  • MP49.Moving of DL fr<x>ameworks.mp415.23MB
  • MP49.Moving Forward with Deep Learning and AI\\/26.Exciting Areas for Upcoming Research.mp49.77MB
  • HTMLDiscuss.FreeTutorials.Us.html165.68KB
  • HTMLFreeCoursesOnline.Me.html108.30KB
  • HTMLFreeTutorials.Eu.html102.23KB
Latest Search: 1.BIB-049   2.MADA-077   3.GG-038   4.MIRD-094   5.REAL-383   6.BNDV-00784   7.QEDH-004   8.JUSD-373   9.MIBD-654   10.MIBD-733   11.ACGJV-002   12.GUR-001   13.FSET-367   14.ONSD-420   15.BNDV-00753   16.BNDV-00819   17.PBD-154   18.SCF-015   19.RKI-103   20.KAPD-023   21.MIBD-528   22.SAMA-664   23.MDED-192   24.MIBD-749   25.FTA-122   26.ONSD-512   27.PBD-108   28.DM-001   29.CBOX-05   30.DBE-100   31.ZUKAN-05   32.AMD-291   33.AKND-023   34.PBD-167   35.ONSD-368   36.ONSD-537   37.TKBT-05   38.MIBD-662   39.MGDV-056   40.KWBD-075   41.SKSS-48   42.ECB-067   43.APAE-008   44.CLB-013   45.MVSD-177   46.DOKS-241   47.AGEMIX-163   48.ARM-253   49.ADVSR-0075   50.IFDVE-024   51.HET-422   52.NWF-204   53.R18-245   54.RSLI-009   55.XNRL-001   56.YTLL-002   57.UD-501R   58.AOFR-015   59.MVS-096   60.TOP-008   61.KHK-002   62.KAR-150   63.KAR-010   64.DVH-420   65.TIB-003   66.BSJ-024   67.RD-287   68.TIA-310   69.VNDS-2641   70.KA-1164   71.049   72.077   73.038   74.094   75.383   76.00784   77.004   78.373   79.654   80.733   81.002   82.001   83.367   84.420   85.00753   86.00819   87.154   88.015   89.103   90.023   91.528   92.6   93.192   94.749   95.122   96.512   97.108   98.001   99.05   100.100   101.05   102.291   103.023   104.167   105.368   106.537   107.05   108.662   109.056   110.075   111.48   112.067   113.008   114.013   115.177   116.241   117.163   118.253   119.0075   120.024   121.422   122.204   123.245   124.009   125.001   126.002   127.501R   128.015   129.096   130.008   131.002   132.150   133.010   134.420   135.003   136.024   137.287   138.310   139.21   140.11