Playlist Β· Krish Naik

Complete Deep Learning

by Krish Naik Β· 88 videos

Total watch time

1d 6h 21m

at 1Γ— speed Β· exactly 1 day, 6 hours, 21 minutes, 6 seconds at 1Γ—

At an hour a day you'd finish in 31 days

The shape of the course

88 videos in blocks of 10 Β· each column is a block's total, to scale

2h 34m
2h 29m
5h 15m
1h 58m
3h 19m
7h 33m
2h 28m
2h 29m
2h 16m

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Videos (88)

1d 6h 21m in total Β· tick what you've watched

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1 Why Deep Learning Is Becoming So Popular?πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯πŸ”₯ 14:03 2021-05-08
2 Complete Road Map To Prepare For Deep LearningπŸ”₯πŸ”₯πŸ”₯πŸ”₯ 16:23 2020-10-01
3 Introduction To Machine Learning And Deep Learning For Starters 50:28 2021-04-18
4 Tutorial 1- Introduction to Neural Network and Deep Learning 8:07 2019-07-17
5 Tutorial 2- How does Neural Network Work 7:24 2019-07-17
6 Tutorial 3-Activation Functions Part-1 5:56 2019-07-17
7 Tutorial 4: How to train Neural Network with BackPropogation 9:22 2019-07-18
8 Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent 14:16 2019-07-18
9 Tutorial 6-Chain Rule of Differentiation with BackPropagation 13:43 2019-07-19
10 Tutorial 7- Vanishing Gradient Problem 14:30 2019-07-22
11 Tutorial 8- Exploding Gradient Problem in Neural Network 11:11 2019-07-23
12 Tutorial 9- Drop Out Layers in Multi Neural Network 11:31 2019-07-24
13 Tutorial 10- Activation Functions Rectified Linear Unit(relu) and Leaky Relu Part 2 12:18 2019-07-25
14 Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus 38:48 2020-11-02
15 Tutorial 11- Various Weight Initialization Techniques in Neural Network 12:56 2019-07-26
16 Tutorial 12- Stochastic Gradient Descent vs Gradient Descent 12:17 2019-07-28
17 Tutorial 13- Global Minima and Local Minima in Depth Understanding 14:03 2019-07-29
18 Tutorial 14- Stochastic Gradient Descent with Momentum 13:10 2019-07-30
19 Tutorial 15- Adagrad Optimizers in Neural Network 13:17 2019-07-31
20 Tutorial 16- AdaDelta and RMSprop optimizer 9:26 2019-08-02
21 Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers 1:41:55 2020-11-03
22 Session On Different Types Of Loss Function In Deep Learning 1:42:32 2021-02-16
23 Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks 24:46 2019-08-05
24 Keras Tuner Hyperparameter Tuning-How To Select Hidden Layers And Number of Hidden Neurons In ANN 19:24 2020-10-18
25 Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network 10:39 2019-08-06
26 Tutorial 19- Training Artificial Neural Network using Google Colab GPU 19:25 2019-08-07
27 Tutorial 20- Convolution Neural Network vs Human Brain 6:37 2019-08-20
28 Tutorial 21- What is Convolution operation in CNN? 10:58 2019-08-20
29 Tutorial 22- Padding in Convolutional Neural Network 7:50 2019-08-21
30 Tutorial 23- Operation Of CNN(CNN vs ANN) 11:10 2019-11-10
31 Tutorial 24- Max Pooling Layer In CNN 6:37 2019-11-10
32 Tutorial 25- Data Augmentation In CNN-Deep Learning 7:39 2019-12-19
33 Tutorial 26- Create Image Dataset using Data Augmentation using Keras-Deep Learning-Data Science 7:04 2019-12-21
34 Tutorial 27- Create CNN Model and Optimize using Keras Tuner- Deep Learning 27:40 2019-12-23
35 Tutorial 28- Create CNN Model Using Transfer Learning using Vgg 16, Resnet 14:59 2019-12-23
36 Tutorial 29- Why Use Recurrent Neural Network and Its Application 10:13 2019-12-25
37 Tutorial 30- Recurrent Neural Network Forward Propogation With Time 10:54 2019-12-27
38 Tutorial 31- Back Propagation In Recurrent Neural Network 7:30 2020-01-02
39 Tutorial 32- Problems In Simple Recurrent Neural Network 5:43 2020-01-03
40 Tutorial 33- Installing Cuda Toolkit And cuDNN For Deep Learning 19:30 2020-03-15
41 Tutorial 34- LSTM Recurrent Neural Network In Depth Intuition 23:28 2020-03-24
42 Word Embedding - Natural Language Processing| Deep Learning 15:10 2020-05-08
43 Implementing Word Embedding Using Keras- NLP | Deep Learning 18:05 2020-05-10
44 Develop your Neural Network Like A Google Deep Learning Developer 14:25 2020-05-12
45 Kaggle Faker News Classifier Using LSTM- Deep LEarning| Natural Language Processing 21:52 2020-05-19
46 Stock Price Prediction And Forecasting Using Stacked LSTM- Deep Learning 36:33 2020-05-25
47 Bidirectional RNN Indepth Intuition- Deep Learning Tutorial 7:54 2020-05-30
48 Implement Kaggle Fake News Classifier Using Bidirectional LSTM RNN 18:01 2020-05-30
49 Sequence To Sequence Learning With Neural Networks| Encoder And Decoder In-depth Intuition 13:22 2020-06-16
50 Develop Your First Deep Learning End To End Project As A Beginner In Data Science in 30 minutes 30:31 2020-06-12
51 Encoder And Decoder- Neural Machine Learning Language Translation Tutorial With Keras- Deep Learning 19:16 2020-06-27
52 Problems With Encoders And Decoders- Indepth Intuition 11:09 2020-08-05
53 Live Session- Understanding Attention Models Architecture And Maths Intuition- Deep Learning 1:03:45 2020-08-19
54 Live Session- Encoder Decoder,Attention Models, Transformers, Bert Part 1 1:37:30 2020-08-24
55 Live- Attention Models, Transformers In depth Intuition Deep Learning- Part 2 1:35:47 2020-08-26
56 Live -Transformers Indepth Architecture Understanding- Attention Is All You Need 1:19:24 2020-09-03
57 How To Train Deep Learning Models In Google Colab- Must For Everyone 24:26 2020-09-06
58 Alexnet Architecture In-depth-Discussion Along With Code-Deep Learning Advanced CNN 23:17 2020-09-11
59 VGGNET Architecture In-depth Discussion Along With Code -Deep Learning Advanced CNN 23:39 2020-09-12
60 Hummingbird-Run Traditional Machine Learning model on Deep Neural Network frameworks-Data Science 14:18 2020-06-13
61 Lets Implement LSTM RNN Models For Univariate Time Series Forecasting- Deep Learning 21:38 2020-05-23
62 TensorDash- How To Monitor Your Deep Learning Model Metrics, Loss, Accuracy Using Mobile App 12:57 2020-10-23
63 Handling Imbalanced Dataset Using Cost Sensitive Neural Networks- Credit Card Fraud Detection 15:36 2020-11-21
64 500+ Machine Learning And Deep Learning Projects All At One Place 7:49 2021-01-03
65 Google Colab Pro Vs Colab Free- Benefits Of Using Colab Pro- How To Access From India 13:08 2021-01-04
66 How To Implement Image Classification Using SVM In Convolution Neural Network 16:24 2021-01-28
67 Object Localization Vs Object Detection Deep Learning 15:48 2021-01-31
68 3000+ Research Datasets For Machine Learning Researchers By Papers With Code 6:38 2021-02-04
69 PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network 28:00 2021-02-18
70 Face Recognition Attendance Based Project In Machine Learning 10:00 2021-03-02
71 Colab Pro Now Available In India, Brazil, France, Thailand,Japan,UK- BOON FOR Data Science Aspirants 5:30 2021-03-26
72 Part 1-EDA-Audio Classification Project Using Deep Learning 25:30 2021-03-31
73 Part 2-Data Preprocessing-Audio Classification Project Using Deep Learning 18:15 2021-03-31
74 Part 3-Model Creation-Audio Classification Project Using Deep Learning 10:12 2021-04-01
75 Part 4-Testing ANN Model-Audio Classification Project Using Deep Learning 8:30 2021-04-02
76 Gradio Library-Interfaces for your Machine Learning Models 8:48 2021-04-15
77 Comparing Transfer Learning Models Using Gradio 8:24 2021-04-16
78 TFOD 2.0 Custom Object Detection Step By Step Tutorial 47:08 2021-04-17
79 Text Generation with Transformers (GPT-2) In 10 Lines Of Code 7:54 2021-04-18
80 Image Segmentation And Object Detection Using 5 Lines Of Code Using PixelLib 9:09 2021-06-20
81 Real Time Image Segmentation And Object Detection From Live Video Stream Using PixelLib 8:38 2021-06-20
82 Face Detection, Face Mesh, OpenPose, Holisitic, Hand Detection Using MediaPipe On Live Stream Video 10:49 2021-07-24
83 GauGAN AI Art Tool By Nvidia- Convert Imagination Into Real Picture- Application Of GAN 6:15 2021-08-13
84 Implementation Of Perceptron In Deep Learning Using Python From Scratch- Part 1- Ft: Sunny 15:01 2021-10-18
85 Complete Implementation Of Perceptron In Deep Learning Using Python From Scratch 1:02:51 2021-10-19
86 How to Install Ubuntu in Windows 10 with WSL2-Windows Subsystem for Linux 12:06 2021-10-19
87 Tutorial on Automated Machine Learning using MLBox 11:03 2021-12-05
88 Monte Carlo DropOut Layers In Deep Learning 8:59 2022-04-22
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