\
0:00 Course Introduction
2:40 Updates on Udemy Reviews
and Setup\
4:09 Introduction to Google Colab
to Artificial Neural Networks (ANNs)\
10:09 The Neuron
15:38 Activation Function
24:03 Cost Function
26:50 Gradient Descent and Back-Propagation
1 Multiclass image classification with ANN\
30:52 Installation and Setup
36:01 Data Preprocessing
58:43 Building the Model
1:11:05 Training the Model
1:21:25 Model evaluation and performance
2 Binary Data Classification with ANN\
1:33:03 Binary Data Classification Step 1
1:36:34 Binary Data Classification Step 2
2:04:27 Binary Data Classification Step 3
2:16:19 Binary Data Classification Step 4
2:19:04 Binary Data Classification Step 5
to Convolutional Neural Networks (CNNs)\
2:28:17 Convolutional Neural Network Part 1
2:33:30 Convolutional Neural Network Part 2
3 Object Recognition in Images with CNN\
2:37:54 Object Recognition in Images Step 1
2:39:50 Object Recognition in Images Step 2
2:49:29 Object Recognition in Images Step 3
3:05:13 Object Recognition in Images Step 4
3:10:50 Object Recognition in Images Step 5
4 Binary Image Classification with CNN\
3:19:05 Binary Image Classification Step 1
3:21:56 Binary Image Classification Step 2
3:33:51 Binary Image Classification Step 3
3:49:10 Binary Image Classification Step 4
4:01:05 Binary Image Classification Step 5
5 Digit Recognition with CNN\
4:08:35 Digit Recognition with CNN - Step 1
4:20:47 Digit Recognition with CNN - Step 2
4:31:09 Digit Recognition with CNN - Step 3
6 Breast Cancer Detection with CNN\
4:40:37 Breast Cancer Detection with CNN - Step 1
4:55:49 Breast Cancer Detection with CNN - Step 2
5:05:08 Breast Cancer Detection with CNN - Step 3
7 Predicting the Bank Customer Satisfaction with CNN\
5:12:51 Predicting the Bank Customer Satisfaction - Step 1
5:24:52 Predicting the Bank Customer Satisfaction - Step 2
5:49:02 Predicting the Bank Customer Satisfaction - Step 3
6:01:16 Predicting the Bank Customer Satisfaction - Step 4
8 Credit Card Fraud Detection with CNN\
6:09:45 Credit Card Fraud Detection with CNN - Step 1
6:21:38 Credit Card Fraud Detection with CNN - Step 2
6:39:00 Credit Card Fraud Detection with CNN - Step 3
6:52:11 Credit Card Fraud Detection with CNN - Step 4
to Recurrent Neural Networks\
7:00:45 Introduction to Recurrent Neural Networks
7:02:54 Vanishing Gradient Problem
7:05:00 LSTM and GRU
9 IMDB Review Classification with RNN - LSTM\
7:08:30 IMDB Review Classification with RNN - LSTM Step 1
7:17:26 IMDB Review Classification with RNN - LSTM Step 2
7:26:35 IMDB Review Classification with RNN - LSTM Step 3
10 Multiclass Image Classification with RNN - LSTM\
7:35:55 Multiclass Image Classification with RNN - LSTM Step 1
7:45:36 Multiclass Image Classification with RNN - LSTM Step 2
7:57:26 Multiclass Image Classification with RNN - LSTM Step 3
11 Google Stock Price Prediction with RNN and LSTM\
8:07:05 Google Stock Price Prediction with RNN and LSTM Step 1
8:22:37 Google Stock Price Prediction with RNN and LSTM Step 2
8:31:48 Google Stock Price Prediction with RNN and LSTM Step 3
8:44:28 Google Stock Price Prediction with RNN and LSTM Step 4
9:04:58 Google Stock Price Prediction with RNN and LSTM Step 5
9:09:13 Introduction to Transfer Learning
Learning\
9:12:46 Transfer Learning Step 1
9:24:44 Transfer Learning Step 2
9:34:08 Transfer Learning Step 3
9:45:14 Transfer Learning Step 4
of Natural Language Processing\
9:52:01 Introduction to Natural Language Processing
9:55:58 NLTK Introduction and Installation
9:59:25 Tokenization
10:08:22 Stemming
10:16:52 Lemmatization
10:20:58 Stop Words
10:29:56 POS Tagging
10:36:58 Chunking
10:44:26 Named Entity Recognition
12 Movie Review Classifivation with NLTK\
10:50:48 Movie Review Classifivation with NLTK Step 1
11:05:51 Movie Review Classifivation with NLTK Step 2
Course on Numpy (Data Analysis)\
11:18:46 Introduction to NumPy
11:19:39 Numpy Arrays Part 1
11:23:30 Numpy Arrays Part 2
11:34:18 Numpy Arrays Part 3
11:39:51 Numpy Indexing and Selection Part 1
11:49:01 Numpy Indexing and Selection Part 2
11:54:22 Numpy Operations
Course on Pandas (Data Analysis)\
11:59:38 Pandas Introduction