FreeCoursesOnline Me PacktPub Deep Learning with Real World Projects Video

FreeCoursesOnline Me PacktPub Deep Learning with Real World Projects Video

Name	[FreeCoursesOnline.Me] PacktPub - Deep Learning with Real World Projects [Video]	DOWNLOAD Copy Link
Total Size	7.5 GB
Total Files	161
Last Seen	2024-11-14 23:48
Hash	A6C470F088388A0CB7BA0C8EE31B8F13AEFC0E97

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/1 - Introduction/
Activation Functions.mp4	158.7 MB
Code Password.mp4	737.1 KB
History of Deep learning.mp4	85.4 MB
Introduction.mp4	68.8 MB
Multi-Level Perceptrons.mp4	85.5 MB
Neural Network Playground.mp4	159.5 MB
Perceptrons.mp4	39.5 MB
Representations.mp4	165.8 MB
Training Neural Network - Part 1.mp4	128.5 MB
Training Neural Network - Part 2.mp4	59.5 MB
Training Neural Network - Part 3.mp4	116.1 MB
/10 - CNN-Industry Live Project - Find..Save Life/
Introduction.mp4	11.4 MB
Working with X-Ray images - Case Study - Part 1.mp4	9.5 MB
Working with X-Ray images - Case Study - Part 2.mp4	9.2 MB
Working with X-Ray images - Case Study - Part 3.mp4	14.8 MB
Working with X-Ray images - Case Study - Part 4.mp4	19.2 MB
Working with X-Ray images - Case Study - Part 5.mp4	27.9 MB
Working with X-Ray images - Case Study - Part 6.mp4	19.2 MB
/11 - Recurrent Neural Networks - Introduction/
Architecture.mp4	23.6 MB
Batch data.mp4	8.9 MB
Introduction to RNN.mp4	14.1 MB
One-to-Many.mp4	18.3 MB
RNN - Part 1.mp4	10.3 MB
RNN Formula.mp4	30.6 MB
RNN Part 2.mp4	6.7 MB
Simplified Notations.mp4	30.8 MB
Training RNN.mp4	12.2 MB
Types of RNN - Part 1.mp4	7.8 MB
Types of RNN - Part 2.mp4	13.9 MB
Vanishing Gradient.mp4	22.4 MB
/12 - Recurrent Neural Networks - LSTM/
Bidirectional RNN.mp4	15.0 MB
Gated Recurrent Network (GRU).mp4	28.3 MB
Introduction.mp4	4.6 MB
LSTM - Part 1.mp4	8.0 MB
LSTM - Part 2.mp4	6.3 MB
LSTM - Part 3.mp4	4.4 MB
LSTM - Part 4.mp4	12.1 MB
LSTM - Part 5.mp4	20.6 MB
LSTM Equation.mp4	8.9 MB
Online Offline Mode.mp4	10.7 MB
/13 - Recurrent Neutral Networks - Part-Of-Speech Tagger/
Part-Of-Speech Tagger case- study (Part-2).mp4	91.9 MB
Part-Of-Speech Tagger case- study (Part-3).mp4	44.7 MB
Part-Of-Speech Tagger case- study (Part-4).mp4	59.9 MB
Part-Of-Speech Tagger case- study (Part-5).mp4	114.7 MB
Part-Of-Speech Tagger case- study (Part-6).mp4	26.9 MB
Part-Of-Speech Tagger case- study (Part-7).mp4	62.9 MB
Part-Of-Speech Tagger case- study (Part-8).mp4	125.9 MB
Part-Of-Speech Tagger case- study (Part-9).mp4	32.4 MB
Part-Of-Speech Tagger case-study (Part-1).mp4	58.9 MB
/14 - Text generation using RNN/
Text Generation - Code generator case- study (Part-1).mp4	179.6 MB
Text Generation - Code generator case- study (Part-2).mp4	110.3 MB
Text Generation - Code generator case- study (Part-3).mp4	51.0 MB
Text Generation - Code generator case- study (Part-4).mp4	42.0 MB
/2 - Artificial Neural Networks-Introduction/
Activation Functions.mp4	43.9 MB
Assumptions in Neural Networks.mp4	48.0 MB
Deep Learning.mp4	30.4 MB
Example for Perceptron.mp4	47.2 MB
Homogeneous Co-ordinate.mp4	24.8 MB
Input Layer.mp4	56.2 MB
Introduction.mp4	25.1 MB
Multi Classifier.mp4	39.7 MB
Neural Networks.mp4	51.7 MB
Output Layer.mp4	14.8 MB
Perceptron for Classifiers.mp4	33.5 MB
Perceptron in Depth.mp4	32.2 MB
Perceptron.mp4	31.1 MB
Sigmoid function.mp4	27.8 MB
Training in Neural Networks.mp4	34.3 MB
Understanding Human Brain.mp4	27.9 MB
Understanding MNIST.mp4	21.4 MB
Understanding Notations.mp4	104.8 MB
/3 - ANN - Feed Forward Network/
Bidirectional RNN.mp4	45.6 MB
Introduction.mp4	52.9 MB
Online Offline Mode.mp4	37.8 MB
Pseudocode for Batch.mp4	30.2 MB
Pseudocode.mp4	42.6 MB
Understanding Dimensions.mp4	61.5 MB
Vectorised Methods.mp4	85.3 MB
/4 - Back Propagation/
Back Propagation Training - Part 1.mp4	48.8 MB
Back Propagation Training - Part 10.mp4	24.2 MB
Back Propagation Training - Part 2.mp4	39.9 MB
Back Propagation Training - Part 3.mp4	15.5 MB
Back Propagation Training - Part 4.mp4	36.4 MB
Back Propagation Training - Part 5.mp4	36.4 MB
Back Propagation Training - Part 6.mp4	24.4 MB
Back Propagation Training - Part 7.mp4	21.6 MB
Back Propagation Training - Part 8.mp4	28.3 MB
Back Propagation Training - Part 9.mp4	30.4 MB
Finding Global Minima.mp4	10.8 MB
Introducing Loss Function.mp4	46.3 MB
Introduction.mp4	37.1 MB
Pseudocode.mp4	13.3 MB
SGD.mp4	40.8 MB
Sigmoid Function.mp4	27.2 MB
Training for Batches.mp4	23.9 MB
/5 - Regularisation/
Batch Normalisation - Part 1.mp4	37.8 MB
Batch Normalisation - Part 2.mp4	39.4 MB
Batch Normalisation - Part 3.mp4	53.1 MB
Dropouts Part 1.mp4	25.4 MB
Dropouts Part 2.mp4	14.1 MB
Introducing Keras.mp4	128.9 MB
Introducing TensorFlow.mp4	47.6 MB
Introduction to Regularisation.mp4	51.4 MB
/6 - Convolution Neural Networks/
Applications for CNN.mp4	57.1 MB
Combining Network.mp4	55.8 MB
Convolution - Part 1.mp4	45.5 MB
Convolution - Part 2.mp4	83.4 MB
Feature Map.mp4	133.8 MB
Formulas.mp4	19.5 MB
Idea behind CNN - Part 1.mp4	48.1 MB
Idea behind CNN - Part 2.mp4	79.6 MB
Images.mp4	168.9 MB
Introduction.mp4	45.0 MB
Padding.mp4	15.9 MB
Pooling.mp4	74.0 MB
Stride and Padding.mp4	35.8 MB
Video.mp4	41.9 MB
Weight and Bias.mp4	86.5 MB
/7 - CNN-Keras/
Introduction.mp4	8.1 MB
Practical on CNN - Case Study - Part 1.mp4	10.8 MB
Practical on CNN - Case Study - Part 2.mp4	29.7 MB
Practical on CNN - Case Study - Part 3.mp4	37.8 MB
Practical on CNN - Case Study - Part 4.mp4	13.9 MB
Practical on CNN - Case Study - Part 5.mp4	7.9 MB
VGG16 (Visual Geometry Group).mp4	46.8 MB
/8 - CNN-Transfer Learning/
AlexNet.mp4	77.4 MB
Analysis - Part 1.mp4	115.1 MB
Analysis - Part 2.mp4	48.2 MB
Case Study - Part 1.mp4	203.5 MB
Case Study - Part 2.mp4	100.6 MB
Case Study - Part 3.mp4	41.0 MB
GoogleNet.mp4	51.1 MB
Introduction.mp4	46.8 MB
ResNet - Part 1.mp4	33.9 MB
ResNet - Part 2.mp4	29.5 MB
Transfer Learning - Part 1.mp4	7.8 MB
Transfer Learning - Part 2.mp4	20.8 MB
Transfer Learning - Part 3.mp4	37.0 MB
Transfer Learning - Part 4.mp4	41.8 MB
Transfer Learning - Part 5.mp4	28.4 MB
Transfer Learning - Part 6.mp4	38.1 MB
/9 - CNN-Industry Live Project - Playing..Natural Images/
Introduction.mp4	20.6 MB
Working with Flower Images - Case Study - Part 1.mp4	52.0 MB
Working with Flower Images - Case Study - Part 10.mp4	59.5 MB
Working with Flower Images - Case Study - Part 11.mp4	64.7 MB
Working with Flower Images - Case Study - Part 12.mp4	167.2 MB
Working with Flower Images - Case Study - Part 13.mp4	33.3 MB
Working with Flower Images - Case Study - Part 14.mp4	78.8 MB
Working with Flower Images - Case Study - Part 2.mp4	124.5 MB
Working with Flower Images - Case Study - Part 3.mp4	52.6 MB
Working with Flower Images - Case Study - Part 4.mp4	50.9 MB
Working with Flower Images - Case Study - Part 5.mp4	41.2 MB
Working with Flower Images - Case Study - Part 6.mp4	75.6 MB
Working with Flower Images - Case Study - Part 7.mp4	27.6 MB
Working with Flower Images - Case Study - Part 8.mp4	95.8 MB
Working with Flower Images - Case Study - Part 9.mp4	85.0 MB
Total files 161