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YT 14 minutes 31 seconds
The AI University
How to Train Deep Learning Model on Google Colab for FREE | Train Neural Network on GPU Machine
YT 16 minutes 10 seconds
The AI University
Google Colaboratory for free GPU -(Neural Network Model Training) | Part 2
YT 8 minutes 16 seconds
The AI University
Differentiate between Deep Learning and Machine Learning | Tensorflow Tutorial Series
YT 6 minutes 17 seconds
The AI University
Tensorflow Tutorial Series Introduction | A Hands-on Learning Experience
YT 7 minutes 9 seconds
The AI University
What is Deep Learning | Tensorflow Tutorial Series
YT 11 minutes 36 seconds
The AI University
Artificial Neural Network Tutorial | Tensorflow Tutorial Series
YT 12 minutes 20 seconds
The AI University
Activation Functions in Neural Networks | Tensorflow Tutorial Series
YT 10 minutes 26 seconds
The AI University
How Neural Network gets Trained | Tensorflow firsthand Tutorial Series for Beginners
YT 10 minutes 35 seconds
The AI University
Google Colaboratory for Tensorflow | Tensorflow firsthand Tutorial Series for Beginners
YT 24 minutes 57 seconds
The AI University
Tensorflow Math Operations using Constants | Tensorflow Tutorial Series
YT 17 minutes 21 seconds
The AI University
How Data travels in Deep Neural Networks | Scalar vs Vector vs Matrix vs Tensor
YT 17 minutes 5 seconds
The AI University
What are Placeholders in Tensorflow | Usage of Placeholders in Tensorflow
YT 17 minutes 47 seconds
The AI University
Tensorflow Variables and Associated Computations | Optimize Model parameter during Training
YT 6 minutes 52 seconds
The AI University
What is Loss Function in Deep Learning | Loss Function in Machine Learning | Loss Function Types
YT 8 minutes 37 seconds
The AI University
Backpropagation Explained in a simple manner | Backpropagation in Neural Networks
YT 11 minutes 17 seconds
The AI University
Learning from the past events using Recurrent Neural Network | A Gentle introduction to RNN
YT 11 minutes 49 seconds
The AI University
Basic Building Blocks of Recurrent Neural Network | Recurrent Neural Network (RNN/LSTM)
YT 9 minutes 30 seconds
The AI University
Cases where Backpropagation fails in Neural Networks | Inherent problems with Recurrent Neural Net
YT 8 minutes 49 seconds
The AI University
Why Long Memory Neurons are Important in Recurrent Neural Network | Deep Learning
YT 9 minutes 3 seconds
The AI University
Understand LSTM cells to build Neural Network based Applications | LSTM Architecture
YT 9 minutes 49 seconds
The AI University
Convert Text into Numeric Encoding for Recurrent Neural Network | How RNN read Text Data
YT 8 minutes 44 seconds
The AI University
Convolution Neural Network (CNN) Introduction and Intuition | Convolution Neural Network Explained
YT 11 minutes 9 seconds
The AI University
How to Detect Features of an Image using CNN (Convolution Neural Network)?
YT 5 minutes 46 seconds
The AI University
Why Rectified Linear Unit (ReLU) is required in CNN? | ReLU Layer in CNN
YT 8 minutes 23 seconds
The AI University
Why do we use max POOLING Layer in CNN | What is Pooling Layer in CNN?
YT 3 minutes 58 seconds
The AI University
Why do we use Flattening Layer in CNN | What is Flattening Layer in CNN?
YT 7 minutes 34 seconds
The AI University
How to address Overfitting in Neural Network using Dropout Layer | What is Dropout Layer in CNN?
YT 10 minutes 58 seconds
The AI University
What is Fully Connected Layer | How does Fully Connected Layer works
YT 14 minutes 21 seconds
The AI University
How to Utilize Pre-Trained Models for building Deep Learning Models | VGG16 ResNET Object Detection
YT 11 minutes 38 seconds
The AI University
Increase ACCURACY of Model on Small Dataset | DATA AUGMENTATION for Small Image Dataset