Download Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow torrent

Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow

Torrent:	Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow
Description:	Description Undoubtedly, TensorFlow is one of the most popular & widely used open-source libraries for machine learning applications. Apart from it, TensorFlow is also heavily used for dataflow and differentiable programming across a range of tasks. Because of this and a lot of other promises, hundreds of individuals are keen on exploring TensorFlow for AI & ML, Data Science, text-based application, video detection & others. In order to cater to all our student’s needs for learning TensorFlow, we have curated this exclusive practical guide. It will teach you Practical TensorFlow with more from a training perspective rather than just the theoretical knowledge. What makes this course so unique? It will help you in understanding both basics and the advanced concepts of TensorFlow along with the codes in a practical manner! Upon completing this course, you will be able to learn various essential aspects of this famous library. It will unfold with the basic introduction covering graphs, Keras, supervised learning and others. In the later sections, you will learn more about AI & ML models like decision trees, linear regression & logistic regression along with evaluating models, gradient descent & digit classification. Concepts of CNN are also covered along with its architectures, layers, K-means algorithm, K-means implementation, facial recognition & others. This course includes: Section 1- TensorFlow 2.0, Graphs, Automatic Differentiation, Keras and TensorFlow, Intro to Machine Learning, Types of Supervised Learning. Section 2- Decision Trees, Linear Regression, Logistic Regression, Model Evaluation. Section 3- Gates and Forward Propagation, Complex Decision Boundaries, Backpropagation, Gradient Descent Type and Softmax, Digit Classification. Section 4- CNN, Layers of CNN, Famous CNN Architectures. Section 5- K-Means Algorithm, Centroid Initialization, K-Means ++, Number of Clusters, K-Means Implementation, Principal Component Analysis, Facial Recognition using PCA. Searching for the online course that will teach you TensorFlow practically? Search no more!! Begin with this course today to get your hands dirty with TensorFlow!! Who this course is for: Students who want to learn practical implementation of algorithms in TensorFlow Requirements Basic Programming Knowledge Last Updated 2/2020
Downloads:	166
Category:	Other /Tutorials
Size:	4 GB
Show Files »	Tensorflow Tutorial Hands-on AI development with Tensorflow [TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow 6. Live Projects 3. Cats vs Dogs.mp4 (289.5 MB) 3. Cats vs Dogs.srt (39.8 KB) 1. Fashion Clothing Recognition.srt (22.2 KB) 2. CIFAR 10 and CNN.srt (12.7 KB) 4. Action Recognition.srt (10.4 KB) 1. Fashion Clothing Recognition.mp4 (156.7 MB) 2. CIFAR 10 and CNN.mp4 (83.6 MB) 4. Action Recognition.mp4 (82.1 MB) 3. Section 3 6. Digit Classification.srt (21.1 KB) 4. Backpropagation.srt (20.7 KB) 3. Complex Decision Boundaries.srt (13.6 KB) 1. Introduction.srt (12.0 KB) 2. Gates and Forward Propagation.srt (12.0 KB) 5. Gradient Descent Type and Softmax.srt (7.7 KB) 4. Backpropagation.mp4 (147.2 MB) 6. Digit Classification.mp4 (144.4 MB) 3. Complex Decision Boundaries.mp4 (111.7 MB) 2. Gates and Forward Propagation.mp4 (104.3 MB) 1. Introduction.mp4 (100.3 MB) 5. Gradient Descent Type and Softmax.mp4 (62.9 MB) 5. Section 5 8. Facial Recognition using PCA.srt (19.4 KB) 1. K-Means Algorithm (Part 1).srt (14.3 KB) 2. K-Means Algorithm (Part 2).srt (12.9 KB) 4. K-Means ++.srt (12.6 KB) 7. Principal Component Analysis.srt (12.6 KB) 3. Centroid Initialization.srt (8.7 KB) 6. K-Means Implementation.srt (7.4 KB) 5. Number of Clusters.srt (4.6 KB) 8. Facial Recognition using PCA.mp4 (149.1 MB) 7. Principal Component Analysis.mp4 (109.9 MB) 2. K-Means Algorithm (Part 2).mp4 (103.2 MB) 1. K-Means Algorithm (Part 1).mp4 (99.9 MB) 4. K-Means ++.mp4 (90.3 MB) 3. Centroid Initialization.mp4 (66.3 MB) 6. K-Means Implementation.mp4 (50.7 MB) 5. Number of Clusters.mp4 (31.8 MB) 2. Section 2 6. Logistic Regression - Implementation.srt (17.9 KB) 3. Linear Regression - Theory.srt (17.3 KB) 4. Linear Regression - Implementation.srt (17.0 KB) 1. Decision Trees - Theory.srt (15.2 KB) 5. Logistic Regression - Theory.srt (11.7 KB) 2. Decision Trees - Implementation.srt (10.1 KB) 7. Overfitting and Regularization.srt (9.0 KB) 8. Model Evaluation - Theory.srt (5.2 KB) 9. Model Evaluation - Implementation.srt (4.0 KB) 3. Linear Regression - Theory.mp4 (144.1 MB) 1. Decision Trees - Theory.mp4 (138.8 MB) 6. Logistic Regression - Implementation.mp4 (117.3 MB) 5. Logistic Regression - Theory.mp4 (107.5 MB) 4. Linear Regression - Implementation.mp4 (104.0 MB) 7. Overfitting and Regularization.mp4 (76.1 MB) 2. Decision Trees - Implementation.mp4 (60.9 MB) 8. Model Evaluation - Theory.mp4 (46.2 MB) 9. Model Evaluation - Implementation.mp4 (33.0 MB) 4. Section 4 2. Convolution in CNN (part1).srt (16.5 KB) 3. Convolution in CNN (part2).srt (15.0 KB) 4. Layers of CNN.srt (13.0 KB) 6. Famous CNN Architectures.srt (12.2 KB) 5. Digit Classification.srt (11.9 KB) 1. Introduction.srt (11.6 KB) 2. Convolution in CNN (part1).mp4 (137.3 MB) 3. Convolution in CNN (part2).mp4 (131.7 MB) 4. Layers of CNN.mp4 (113.8 MB) 1. Introduction.mp4 (109.1 MB) 6. Famous CNN Architectures.mp4 (96.5 MB) 5. Digit Classification.mp4 (94.0 MB) 1. Section 1 3. Graphs.srt (14.9 KB) 1. What is TensorFlow 2 Preview.srt (12.6 KB) 6. Intro to Machine Learning.srt (11.8 KB) 2. Basics of TensorFlow.srt (11.6 KB) 4. Automatic Differentiation.srt (11.3 KB) 5. Keras and TensorFlow.srt (7.8 KB) 7. Types of Supervised Learning.srt (3.8 KB) 6. Intro to Machine Learning.mp4 (112.4 MB) 3. Graphs.mp4 (112.2 MB) 1. What is TensorFlow 2 Preview.mp4 (86.9 MB) 4. Automatic Differentiation.mp4 (77.6 MB) 2. Basics of TensorFlow.mp4 (74.4 MB) 5. Keras and TensorFlow.mp4 (67.0 MB) 7. Types of Supervised Learning.mp4 (27.6 MB) TutsNode.com.txt (0.1 KB) [TGx]Downloaded from torrentgalaxy.to .txt (0.6 KB) .pad 0 (1.0 KB) 1 (289.1 KB) 2 (914.0 KB) 3 (829.6 KB) 4 (651.4 KB) 5 (895.9 KB) 6 (245.2 KB) 7 (743.5 KB) 8 (301.4 KB) 9 (701.2 KB) 10 (157.8 KB) 11 (564.5 KB) 12 (775.3 KB) 13 (354.3 KB) 14 (149.5 KB) 15 (912.3 KB) 16 (465.0 KB) 17 (749.5 KB) 18 (996.6 KB) 19 (859.5 KB) 20 (724.2 KB) 21 (66.7 KB) 22 (562.5 KB) 23 (37.1 KB) 24 (695.9 KB) 25 (105.0 KB) 26 (419.9 KB) 27 (926.1 KB) 28 (443.1 KB) 29 (880.2 KB) 30 (597.8 KB) 31 (16.0 KB) 32 (760.4 KB) 33 (116.6 KB) 34 (69.5 KB) 35 (307.3 KB) 36 (781.3 KB) 37 (42.2 KB) 38 (243.2 KB) files
Added:	2021-04-20 11:05:43
Language:	English
Peers:	Seeders : 29 , Leechers : 23
Release name:	Udemy - Tensorflow Tutorial: Hands-on AI development with Tensorflow
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