种子简介

种子名称： [DesireCourse.Com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
文件类型： 视频
文件数目： 89个文件
文件大小： 1.67 GB
收录时间： 2018-9-6 20:40
已经下载： 3次
资源热度： 328
最近下载： 2024-12-22 05:02

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:8a3baeea238b0e09347765e3fc314f25e47119c7&dn=[DesireCourse.Com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[DesireCourse.Com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python.torrent

01 Introduction/001 Introduction.mp411.95MB

01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp416.38MB

02 Installation and Setup/005 Installing TensorFlow Environment.mp427.82MB

03 What is Machine Learning_/006 Machine Learning Overview.mp430.43MB

04 Crash Course Overview/007 Crash Course Section Introduction.mp42.15MB

04 Crash Course Overview/008 NumPy Crash Course.mp432.51MB

04 Crash Course Overview/009 Pandas Crash Course.mp49.02MB

04 Crash Course Overview/010 Data Visualization Crash Course.mp419.51MB

04 Crash Course Overview/011 SciKit Learn Preprocessing Overview.mp420.29MB

04 Crash Course Overview/012 Crash Course Review Exercise.mp47.66MB

04 Crash Course Overview/013 Crash Course Review Exercise - Solutions.mp417.39MB

05 Introduction to Neural Networks/014 Introduction to Neural Networks.mp41.59MB

05 Introduction to Neural Networks/015 Introduction to Perceptron.mp46.79MB

05 Introduction to Neural Networks/016 Neural Network Activation Functions.mp48.62MB

05 Introduction to Neural Networks/017 Cost Functions.mp44.99MB

05 Introduction to Neural Networks/018 Gradient Descent Backpropagation.mp44.6MB

05 Introduction to Neural Networks/019 TensorFlow Playground.mp427.22MB

05 Introduction to Neural Networks/020 Manual Creation of Neural Network - Part One.mp412.54MB

05 Introduction to Neural Networks/021 Manual Creation of Neural Network - Part Two - Operations.mp411.41MB

05 Introduction to Neural Networks/022 Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp413.26MB

05 Introduction to Neural Networks/023 Manual Creation of Neural Network - Part Four - Session.mp425.16MB

05 Introduction to Neural Networks/024 Manual Neural Network Classification Task.mp440.52MB

06 TensorFlow Basics/025 Introduction to TensorFlow.mp41.97MB

06 TensorFlow Basics/026 TensorFlow Basic Syntax.mp418.99MB

06 TensorFlow Basics/027 TensorFlow Graphs.mp48.54MB

06 TensorFlow Basics/028 Variables and Placeholders.mp412.84MB

06 TensorFlow Basics/029 TensorFlow - A Neural Network - Part One.mp411.64MB

06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp432.51MB

06 TensorFlow Basics/031 TensorFlow Regression Example - Part One.mp430.06MB

06 TensorFlow Basics/032 TensorFlow Regression Example _ Part Two.mp457.79MB

06 TensorFlow Basics/033 TensorFlow Classification Example - Part One.mp423.76MB

06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp431.94MB

06 TensorFlow Basics/035 TF Regression Exercise.mp47.96MB

06 TensorFlow Basics/036 TF Regression Exercise Solution Walkthrough.mp427.76MB

06 TensorFlow Basics/037 TF Classification Exercise.mp48.95MB

06 TensorFlow Basics/038 TF Classification Exercise Solution Walkthrough.mp421.72MB

06 TensorFlow Basics/039 Saving and Restoring Models.mp415.44MB

07 Convolutional Neural Networks/040 Introduction to Convolutional Neural Network Section.mp41.17MB

07 Convolutional Neural Networks/041 Review of Neural Networks.mp43.39MB

07 Convolutional Neural Networks/042 New Theory Topics.mp419.7MB

07 Convolutional Neural Networks/044 MNIST Data Overview.mp46.57MB

07 Convolutional Neural Networks/045 MNIST Basic Approach Part One.mp412.11MB

07 Convolutional Neural Networks/046 MNIST Basic Approach Part Two.mp434.94MB

07 Convolutional Neural Networks/047 CNN Theory Part One.mp426.57MB

07 Convolutional Neural Networks/048 CNN Theory Part Two.mp46.55MB

07 Convolutional Neural Networks/049 CNN MNIST Code Along - Part One.mp426.21MB

07 Convolutional Neural Networks/050 CNN MNIST Code Along - Part Two.mp49.65MB

07 Convolutional Neural Networks/051 Introduction to CNN Project.mp416.06MB

07 Convolutional Neural Networks/052 CNN Project Exercise Solution - Part One.mp450.15MB

07 Convolutional Neural Networks/053 CNN Project Exercise Solution - Part Two.mp427.01MB

08 Recurrent Neural Networks/054 Introduction to RNN Section.mp41.57MB

08 Recurrent Neural Networks/055 RNN Theory.mp410.27MB

08 Recurrent Neural Networks/056 Manual Creation of RNN.mp416.64MB

08 Recurrent Neural Networks/057 Vanishing Gradients.mp46.05MB

08 Recurrent Neural Networks/058 LSTM and GRU Theory.mp412.91MB

08 Recurrent Neural Networks/059 Introduction to RNN with TensorFlow API.mp46.26MB

08 Recurrent Neural Networks/060 RNN with TensorFlow - Part One.mp434.09MB

08 Recurrent Neural Networks/061 RNN with TensorFlow - Part Two.mp430.32MB

08 Recurrent Neural Networks/063 RNN with TensorFlow - Part Three.mp412.67MB

08 Recurrent Neural Networks/064 Time Series Exercise Overview.mp413.64MB

08 Recurrent Neural Networks/065 Time Series Exercise Solution.mp435.12MB

08 Recurrent Neural Networks/066 Quick Note on Word2Vec.mp46.05MB

08 Recurrent Neural Networks/067 Word2Vec Theory.mp416.55MB

08 Recurrent Neural Networks/068 Word2Vec Code Along - Part One.mp435.53MB

08 Recurrent Neural Networks/069 Word2Vec Part Two.mp433.38MB

09 Miscellaneous Topics/071 Deep Nets with Tensorflow Abstractions API - Part One.mp416.25MB

09 Miscellaneous Topics/072 Deep Nets with Tensorflow Abstractions API - Estimator API.mp418.69MB

09 Miscellaneous Topics/073 Deep Nets with Tensorflow Abstractions API - Keras.mp433.37MB

09 Miscellaneous Topics/074 Deep Nets with Tensorflow Abstractions API - Layers.mp428.72MB

09 Miscellaneous Topics/075 Tensorboard.mp439.96MB

10 AutoEncoders/076 Autoencoder Basics.mp413.91MB

10 AutoEncoders/077 Dimensionality Reduction with Linear Autoencoder.mp437.58MB

10 AutoEncoders/078 Linear Autoencoder PCA Exercise Overview.mp46.15MB

10 AutoEncoders/079 Linear Autoencoder PCA Exercise Solutions.mp422.88MB

10 AutoEncoders/080 Stacked Autoencoder.mp443.92MB

11 Reinforcement Learning with OpenAI Gym/081 Introduction to Reinforcement Learning with OpenAI Gym.mp47.98MB

11 Reinforcement Learning with OpenAI Gym/083 Introduction to OpenAI Gym.mp413.94MB

11 Reinforcement Learning with OpenAI Gym/084 OpenAI Gym Steup.mp414.77MB

11 Reinforcement Learning with OpenAI Gym/085 Open AI Gym Env Basics.mp49.97MB

11 Reinforcement Learning with OpenAI Gym/086 Open AI Gym Observations.mp415.36MB

11 Reinforcement Learning with OpenAI Gym/087 OpenAI Gym Actions.mp414.79MB

11 Reinforcement Learning with OpenAI Gym/088 Simple Neural Network Game.mp435.82MB

11 Reinforcement Learning with OpenAI Gym/089 Policy Gradient Theory.mp413.7MB

11 Reinforcement Learning with OpenAI Gym/090 Policy Gradient Code Along Part One.mp426MB

11 Reinforcement Learning with OpenAI Gym/091 Policy Gradient Code Along Part Two.mp432.85MB

12 GAN - Generative Adversarial Networks/092 Introduction to GANs.mp413.49MB

12 GAN - Generative Adversarial Networks/093 GAN Code Along - Part One.mp419.49MB

12 GAN - Generative Adversarial Networks/094 GAN Code Along - Part Two.mp429.28MB

12 GAN - Generative Adversarial Networks/095 GAN Code Along - Part Three.mp427.56MB