Complete Deep Learning
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What you'll learn
This course includes
- 30.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 88 lessons • 30.3 hours of video
Complete Deep Learning
88 lessons
• 30.3 hours
Complete Deep Learning
88 lessons
• 30.3 hours
- 500+ Machine Learning And Deep Learning Projects All At One Place 07:49
- Google Colab Pro Vs Colab Free- Benefits Of Using Colab Pro- How To Access From India 13:08
- 3000+ Research Datasets For Machine Learning Researchers By Papers With Code 06:38
- Colab Pro Now Available In India, Brazil, France, Thailand,Japan,UK- BOON FOR Data Science Aspirants 05:30
- Gradio Library-Interfaces for your Machine Learning Models 08:48
- Comparing Transfer Learning Models Using Gradio 08:24
- Introduction To Machine Learning And Deep Learning For Starters 50:28
- Tutorial on Automated Machine Learning using MLBox 11:03
- Why Deep Learning Is Becoming So Popular?🔥🔥🔥🔥🔥🔥 14:03
- Complete Road Map To Prepare For Deep Learning🔥🔥🔥🔥 16:23
- Tutorial 1- Introduction to Neural Network and Deep Learning 08:07
- Tutorial 2- How does Neural Network Work 07:24
- Tutorial 3-Activation Functions Part-1 05:56
- Tutorial 4: How to train Neural Network with BackPropogation 09:22
- Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent 14:16
- Tutorial 6-Chain Rule of Differentiation with BackPropagation 13:43
- Tutorial 7- Vanishing Gradient Problem 14:30
- Tutorial 8- Exploding Gradient Problem in Neural Network 11:11
- Tutorial 9- Drop Out Layers in Multi Neural Network 11:31
- Tutorial 10- Activation Functions Rectified Linear Unit(relu) and Leaky Relu Part 2 12:18
- Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus 38:48
- Tutorial 11- Various Weight Initialization Techniques in Neural Network 12:56
- Tutorial 12- Stochastic Gradient Descent vs Gradient Descent 12:17
- Tutorial 13- Global Minima and Local Minima in Depth Understanding 14:03
- Tutorial 14- Stochastic Gradient Descent with Momentum 13:10
- Tutorial 15- Adagrad Optimizers in Neural Network 13:17
- Tutorial 16- AdaDelta and RMSprop optimizer 09:26
- Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers 01:41:55
- Session On Different Types Of Loss Function In Deep Learning 01:42:32
- Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks 24:46
- Keras Tuner Hyperparameter Tuning-How To Select Hidden Layers And Number of Hidden Neurons In ANN 19:24
- Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network 10:39
- Tutorial 19- Training Artificial Neural Network using Google Colab GPU 19:25
- Tutorial 20- Convolution Neural Network vs Human Brain 06:37
- Tutorial 21- What is Convolution operation in CNN? 10:58
- Tutorial 22- Padding in Convolutional Neural Network 07:50
- Tutorial 23- Operation Of CNN(CNN vs ANN) 11:10
- Tutorial 24- Max Pooling Layer In CNN 06:37
- Tutorial 25- Data Augmentation In CNN-Deep Learning 07:39
- Tutorial 26- Create Image Dataset using Data Augmentation using Keras-Deep Learning-Data Science 07:04
- Tutorial 27- Create CNN Model and Optimize using Keras Tuner- Deep Learning 27:40
- Tutorial 28- Create CNN Model Using Transfer Learning using Vgg 16, Resnet 14:59
- Tutorial 29- Why Use Recurrent Neural Network and Its Application 10:13
- Tutorial 30- Recurrent Neural Network Forward Propogation With Time 10:54
- Tutorial 31- Back Propagation In Recurrent Neural Network 07:30
- Tutorial 32- Problems In Simple Recurrent Neural Network 05:43
- Tutorial 33- Installing Cuda Toolkit And cuDNN For Deep Learning 19:30
- Tutorial 34- LSTM Recurrent Neural Network In Depth Intuition 23:28
- Word Embedding - Natural Language Processing| Deep Learning 15:10
- Implementing Word Embedding Using Keras- NLP | Deep Learning 18:05
- Develop your Neural Network Like A Google Deep Learning Developer 14:25
- Kaggle Faker News Classifier Using LSTM- Deep LEarning| Natural Language Processing 21:52
- Stock Price Prediction And Forecasting Using Stacked LSTM- Deep Learning 36:33
- Bidirectional RNN Indepth Intuition- Deep Learning Tutorial 07:54
- Implement Kaggle Fake News Classifier Using Bidirectional LSTM RNN 18:01
- Sequence To Sequence Learning With Neural Networks| Encoder And Decoder In-depth Intuition 13:22
- Develop Your First Deep Learning End To End Project As A Beginner In Data Science in 30 minutes 30:31
- Encoder And Decoder- Neural Machine Learning Language Translation Tutorial With Keras- Deep Learning 19:16
- Problems With Encoders And Decoders- Indepth Intuition 11:09
- Live Session- Understanding Attention Models Architecture And Maths Intuition- Deep Learning 01:03:45
- Live Session- Encoder Decoder,Attention Models, Transformers, Bert Part 1 01:37:30
- Live- Attention Models, Transformers In depth Intuition Deep Learning- Part 2 01:35:47
- Live -Transformers Indepth Architecture Understanding- Attention Is All You Need 01:19:24
- How To Train Deep Learning Models In Google Colab- Must For Everyone 24:26
- Alexnet Architecture In-depth-Discussion Along With Code-Deep Learning Advanced CNN 23:17
- VGGNET Architecture In-depth Discussion Along With Code -Deep Learning Advanced CNN 23:39
- Hummingbird-Run Traditional Machine Learning model on Deep Neural Network frameworks-Data Science 14:18
- Lets Implement LSTM RNN Models For Univariate Time Series Forecasting- Deep Learning 21:38
- TensorDash- How To Monitor Your Deep Learning Model Metrics, Loss, Accuracy Using Mobile App 12:57
- Handling Imbalanced Dataset Using Cost Sensitive Neural Networks- Credit Card Fraud Detection 15:36
- How To Implement Image Classification Using SVM In Convolution Neural Network 16:24
- Object Localization Vs Object Detection Deep Learning 15:48
- PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network 28:00
- Face Recognition Attendance Based Project In Machine Learning 10:00
- Part 1-EDA-Audio Classification Project Using Deep Learning 25:30
- Part 2-Data Preprocessing-Audio Classification Project Using Deep Learning 18:15
- Part 3-Model Creation-Audio Classification Project Using Deep Learning 10:12
- Part 4-Testing ANN Model-Audio Classification Project Using Deep Learning 08:30
- TFOD 2.0 Custom Object Detection Step By Step Tutorial 47:08
- Text Generation with Transformers (GPT-2) In 10 Lines Of Code 07:54
- Image Segmentation And Object Detection Using 5 Lines Of Code Using PixelLib 09:09
- Real Time Image Segmentation And Object Detection From Live Video Stream Using PixelLib 08:38
- Face Detection, Face Mesh, OpenPose, Holisitic, Hand Detection Using MediaPipe On Live Stream Video 10:49
- GauGAN AI Art Tool By Nvidia- Convert Imagination Into Real Picture- Application Of GAN 06:15
- Implementation Of Perceptron In Deep Learning Using Python From Scratch- Part 1- Ft: Sunny 15:01
- Complete Implementation Of Perceptron In Deep Learning Using Python From Scratch 01:02:51
- How to Install Ubuntu in Windows 10 with WSL2-Windows Subsystem for Linux 12:06
- Monte Carlo DropOut Layers In Deep Learning 08:59
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