Hands-On Introduction To Artificial Intelligence(Ai) --> [ DevCourseWeb ]


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Torrent File Content (67 files)


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

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          1 - Introduction/1 - What is Artificial Intelligence AI.mp4 -
10.18 MB

          1 - Introduction/10 - Neural Networks Perceptron.mp4 -
27.67 MB

          1 - Introduction/11 - What are Deep Neural Networks.mp4 -
20.07 MB

          1 - Introduction/12 - Feed Forward Neural Networks FFNN Structure and Forward pass.mp4 -
24.39 MB

          1 - Introduction/13 - Input Feed Forward Neural Networks FFNN.mp4 -
8.04 MB

          1 - Introduction/14 - Learning Phase Feed Forward Neural Networks FFNN.mp4 -
64.65 MB

          1 - Introduction/15 - Back propagation and learning step Feed Forward Neural Networks FFNN.mp4 -
29.61 MB

          1 - Introduction/16 - Applications and Limitations of Feed Forward Neural Networks FFNN.mp4 -
4.91 MB

          1 - Introduction/17 - CNN Introduction.mp4 -
25.68 MB

          1 - Introduction/18 - CNN Convolution and Relu Layer.mp4 -
29.07 MB

          1 - Introduction/19 - CNN Max Pooling Layer.mp4 -
15.79 MB

          1 - Introduction/2 - Mapping human functions to AI technologies.mp4 -
16.33 MB

          1 - Introduction/20 - CNN Example end to end.mp4 -
21.59 MB

          1 - Introduction/21 - Recurrent Neural Network RNN.mp4 -
32.14 MB

          1 - Introduction/22 - RNN Architecture.mp4 -
12.34 MB

          1 - Introduction/23 - Generative Adversarial Networks GAN.mp4 -
22.71 MB

          1 - Introduction/24 - Reinforcement Learning.mp4 -
29.62 MB

          1 - Introduction/25 - Transfer Learning.mp4 -
31.16 MB

          1 - Introduction/26 - Market Potential of AI.mp4 -
23.91 MB

          1 - Introduction/27 - Who will loose to AI.mp4 -
59.8 MB

          1 - Introduction/28 - Need for retraining and reskilling.mp4 -
18.32 MB

          1 - Introduction/29 - How to take advantage and benefit from AI.mp4 -
31.92 MB

          1 - Introduction/3 - AI Branches of Machine Learning Algorithms.mp4 -
23.69 MB

          1 - Introduction/4 - AI Supervised Machine Learning Algorithms and Applications.mp4 -
25.4 MB

          1 - Introduction/5 - AI Unsupervised Machine Learning Algorithms and Applications.mp4 -
19.94 MB

          1 - Introduction/6 - AI Natural Language Processing and Applications.mp4 -
37.29 MB

          1 - Introduction/7 - AI Computer Vision and Applications.mp4 -
74.57 MB

          1 - Introduction/8 - AI IOT and Applications.mp4 -
62.32 MB

          1 - Introduction/9 - What are Neural Networks.mp4 -
12.5 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/30 - Building Supervised and Unsupervised Machine learning Models using IBM Watson.mp4 -
14.21 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/31 - Approach to building machine learning Models.mp4 -
40.7 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/32 - Account Setup and Configuration.mp4 -
32.04 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/33 - Supervised Building a Binary classificationML model and Uploading Data.mp4 -
12.16 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/34 - Supervised Training and testing your model using logistic regression.mp4 -
41.46 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/35 - Supervised Building a Multi class classificationML model end to end.mp4 -
51.04 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/36 - Unsupervised Building a RegressiveML Model end to end.mp4 -
35.98 MB

          2 - IBM Watson Supervised and Unsupervised Machine Learning Models/37 - Performance Evaluation Parameters for ML Algorithms.mp4 -
20.19 MB

          3 - Natural Language Processing NLP with IBM Watson/38 - Introduction to the Section.mp4 -
15.17 MB

          3 - Natural Language Processing NLP with IBM Watson/39 - IBM Watson Text to Speech.mp4 -
40.65 MB

          3 - Natural Language Processing NLP with IBM Watson/40 - IBM Watson Speech to Text.mp4 -
33.48 MB

          3 - Natural Language Processing NLP with IBM Watson/41 - IBM Watson Semantic extraction.mp4 -
68.04 MB

          4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/42 - Introduction to the Section and the experiment sheet.mp4 -
25.96 MB

          4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/43 - Building a Perceptron.mp4 -
21.91 MB

          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.mp4 -
28.74 MB

          4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/45 - Building a Deep Feed Forward Neural Network Supervised.mp4 -
46.36 MB

          4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/46 - High Level Introduction to Tensor Flow Data and Setup Unsupervised.mp4 -
25.56 MB

          4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/47 - Building a Regressive Feed Forward Neural NetworkFFNN Unsupervised.mp4 -
74.8 MB

          4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/48 - Building a SHALLOW Regressive Feed Forward Neural Network Unsupervised.mp4 -
26.68 MB

          4 - Feed Forward Neural Networks FFNN with Tensor Flow Simulator and Google Colab/49 - Building a DEEP Regressive FFNN Unsupervised.mp4 -
31.99 MB



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