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)
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)
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