[Udemy] Python Programming Machine Learning, Deep Learning (05 2021) - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials) +--- Thread: [Udemy] Python Programming Machine Learning, Deep Learning (05 2021) (/Thread-Udemy-Python-Programming-Machine-Learning-Deep-Learning-05-2021--691199) |
[Udemy] Python Programming Machine Learning, Deep Learning (05 2021) - AD-TEAM - 11-25-2024 2.81 GB | 00:28:40 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English
Files Included :
1 Introduction to Deep Learning with Python (14.51 MB) 1 What is Transfer Learning (85.33 MB) 1 Project - 1 (101.54 MB) 2 Project - 2 (169.31 MB) 3 Project - 3 (82.32 MB) 4 Project - 4 (72.27 MB) 1 Installing Anaconda Distribution and Python (37.6 MB) 2 Overview of Jupyter Notebook and Google Colab (25.35 MB) 1 Data Types in Python (41.08 MB) 10 Exercise Solution (47.7 MB) 2 Operators in Python (29.62 MB) 3 Conditionals (34.65 MB) 4 Loops (49.12 MB) 5 Lists, Tuples, Dictionaries and Sets (66.34 MB) 6 Data Type Operators and Methods (40.47 MB) 7 Modules in Python (21.06 MB) 8 Functions in Python (26.07 MB) 9 Exercise Analyse (5.71 MB) 1 Logic of OOP (16.39 MB) 2 Constructor (33.89 MB) 3 Methods (23.65 MB) 4 Inheritance (32.63 MB) 5 Overriding and Overloading (58.84 MB) 1 What is Numpy (26.72 MB) 2 Why Numpy (13.65 MB) 3 Array and features (47.91 MB) 4 Array's Operators (17.58 MB) 5 Numpy Functions (78.51 MB) 6 Indexing and Slicing (40.39 MB) 7 Numpy Exercises (74.19 MB) 8 Using Numpy in Linear Algebra (112.16 MB) 9 NumExpr Guide (42.2 MB) 1 AI, Machine Learning and Deep Learning (16.23 MB) 10 Supervised Machine Learning Methods - 3 (56.07 MB) 11 Supervised Machine Learning Methods - 4 (70.3 MB) 12 Unsupervised Machine Learning Methods (87.95 MB) 13 Gathering data (17.62 MB) 14 Data pre-processing (25.99 MB) 15 Choosing the right algorithm and model (148.49 MB) 16 Training and testing the model (84.03 MB) 17 Evaluation (24.38 MB) 2 History of Machine Learning (23.86 MB) 3 Turing Machine and Turing Test (40.9 MB) 4 What is Deep Learning (20.53 MB) 5 Learning representations from data (34.91 MB) 6 Workflow of Machine Learning (31.68 MB) 7 Machine Learning Methods (45.55 MB) 8 Supervised Machine Learning Methods - 1 (30.95 MB) 9 Supervised Machine Learning Methods - 2 (55.38 MB) 1 What is Artificial Neural Network (ANN) (23.02 MB) 2 Anatomy of Neural Network (42.3 MB) 3 Creating a Simple ANN (79.46 MB) 4 Tensor Operations (62.12 MB) 5 Tensor Operations 2 (29.79 MB) 6 Keras API (23.31 MB) 7 Optimizers (42.32 MB) 8 What is TensorFlow (62.59 MB) 1 What is CNN (72.37 MB) 1 Understanding RNN and LSTM Networks (50.86 MB)] Screenshot
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