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种子名称： [ DevCourseWeb.com ] Udemy - Hands-On Introduction To Artificial Intelligence(Ai)
文件类型： 视频
文件数目： 65个文件
文件大小： 2.37 GB
收录时间： 2023-1-25 02:30
已经下载： 3次
资源热度： 171
最近下载： 2024-4-25 12:14

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[ DevCourseWeb.com ] Udemy - Hands-On Introduction To Artificial Intelligence(Ai).torrent

~Get Your Files Here !/1 - Introduction/1 - What is Artificial Intelligence AI.mp410.18MB

~Get Your Files Here !/1 - Introduction/10 - Neural Networks Perceptron.mp427.67MB

~Get Your Files Here !/1 - Introduction/11 - What are Deep Neural Networks.mp420.07MB

~Get Your Files Here !/1 - Introduction/12 - Feed Forward Neural Networks FFNN Structure and Forward pass.mp424.39MB

~Get Your Files Here !/1 - Introduction/13 - Input Feed Forward Neural Networks FFNN.mp48.04MB

~Get Your Files Here !/1 - Introduction/14 - Learning Phase Feed Forward Neural Networks FFNN.mp464.65MB

~Get Your Files Here !/1 - Introduction/15 - Back propagation and learning step Feed Forward Neural Networks FFNN.mp429.61MB

~Get Your Files Here !/1 - Introduction/16 - Applications and Limitations of Feed Forward Neural Networks FFNN.mp44.91MB

~Get Your Files Here !/1 - Introduction/17 - CNN Introduction.mp425.68MB

~Get Your Files Here !/1 - Introduction/18 - CNN Convolution and Relu Layer.mp429.07MB

~Get Your Files Here !/1 - Introduction/19 - CNN Max Pooling Layer.mp415.79MB

~Get Your Files Here !/1 - Introduction/2 - Mapping human functions to AI technologies.mp416.33MB

~Get Your Files Here !/1 - Introduction/20 - CNN Example end to end.mp421.59MB

~Get Your Files Here !/1 - Introduction/21 - Recurrent Neural Network RNN.mp432.14MB

~Get Your Files Here !/1 - Introduction/22 - RNN Architecture.mp412.34MB

~Get Your Files Here !/1 - Introduction/23 - Generative Adversarial Networks GAN.mp422.71MB

~Get Your Files Here !/1 - Introduction/24 - Reinforcement Learning.mp429.62MB

~Get Your Files Here !/1 - Introduction/25 - Transfer Learning.mp431.16MB

~Get Your Files Here !/1 - Introduction/26 - Market Potential of AI.mp423.91MB

~Get Your Files Here !/1 - Introduction/27 - Who will loose to AI.mp459.8MB

~Get Your Files Here !/1 - Introduction/28 - Need for retraining and reskilling.mp418.32MB

~Get Your Files Here !/1 - Introduction/29 - How to take advantage and benefit from AI.mp431.92MB

~Get Your Files Here !/1 - Introduction/3 - AI Branches of Machine Learning Algorithms.mp423.69MB

~Get Your Files Here !/1 - Introduction/4 - AI Supervised Machine Learning Algorithms and Applications.mp425.4MB

~Get Your Files Here !/1 - Introduction/5 - AI Unsupervised Machine Learning Algorithms and Applications.mp419.94MB

~Get Your Files Here !/1 - Introduction/6 - AI Natural Language Processing and Applications.mp437.29MB

~Get Your Files Here !/1 - Introduction/7 - AI Computer Vision and Applications.mp474.57MB

~Get Your Files Here !/1 - Introduction/8 - AI IOT and Applications.mp462.32MB

~Get Your Files Here !/1 - Introduction/9 - What are Neural Networks.mp412.5MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/30 - Building Supervised and Unsupervised Machine learning Models using IBM Watson.mp414.21MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/31 - Approach to building machine learning Models.mp440.7MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/32 - Account Setup and Configuration.mp432.04MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/33 - Supervised Building a Binary classificationML model and Uploading Data.mp412.16MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/34 - Supervised Training and testing your model using logistic regression.mp441.46MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/35 - Supervised Building a Multi class classificationML model end to end.mp451.04MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/36 - Unsupervised Building a RegressiveML Model end to end.mp435.98MB

~Get Your Files Here !/2 - IBM Watson Supervised and Unsupervised Machine Learning Models/37 - Performance Evaluation Parameters for ML Algorithms.mp420.19MB

~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/38 - Introduction to the Section.mp415.17MB

~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/39 - IBM Watson Text to Speech.mp440.65MB

~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/40 - IBM Watson Speech to Text.mp433.48MB

~Get Your Files Here !/3 - Natural Language Processing NLP with IBM Watson/41 - IBM Watson Semantic extraction.mp468.04MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/42 - Introduction to the Section and the experiment sheet.mp425.96MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/43 - Building a Perceptron.mp421.91MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/44 - Building a Feed Forward Neural Network with one Hidden layer Supervised.mp428.74MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/45 - Building a Deep Feed Forward Neural Network Supervised.mp446.36MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/46 - High Level Introduction to Tensor Flow Data and Setup Unsupervised.mp425.56MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/47 - Building a Regressive Feed Forward Neural NetworkFFNN Unsupervised.mp474.8MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/48 - Building a SHALLOW Regressive Feed Forward Neural Network Unsupervised.mp426.68MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/49 - Building a DEEP Regressive FFNN Unsupervised.mp431.99MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/50 - Building a Regressive FFNN with different AdamOptimizer.mp429.82MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/51 - Building a Regressive FFNN with different learning Rates and Epochs.mp471.02MB

~Get Your Files Here !/4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/52 - Performance Analysis of Feed Forward Neural Networks.mp441.45MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/53 - Section Introduction and data.mp435.34MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/54 - CNN for MNIST Architecture Walkthrough.mp47.24MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/55 - IBM Watson Account Setup Basics.mp431.98MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/56 - CNN Setup and First Run with MNIST example Part 1.mp488.17MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/57 - CNN Setup and First Run with MNIST example Part 2.mp465.32MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/58 - CNN for MNIST with SGD.mp435.92MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/59 - Optimizing CNN for MNIST.mp4107MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/60 - CNN for CIFAR 10.mp485.11MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/61 - Optimization options for CNN on CIFAR 10.mp472.25MB

~Get Your Files Here !/5 - Convolutional Neural Networks CNN with IBM Watson/62 - CNN Unconverging Experiments.mp437.14MB

~Get Your Files Here !/6 - Recurrent Neural Network RNN with Mathworks/63 - Introduction the section.mp411.26MB

~Get Your Files Here !/6 - Recurrent Neural Network RNN with Mathworks/64 - Japanese Vowels classification with LSTM Walk through of Mathworks example.mp4122.92MB

~Get Your Files Here !/6 - Recurrent Neural Network RNN with Mathworks/65 - Classification of human activities with LSTM Walk through of Mathworks example.mp485.54MB