diff --git a/README.md b/README.md index d5b85356..4f610c13 100644 --- a/README.md +++ b/README.md @@ -87,7 +87,7 @@ For a gentle introduction to *AI in the Cloud* topic you may consider taking the 1Multi-Modal Networks, CLIP and VQGANText -**[Mindmap of the Course](etc/Mindmap.html)** +**[Mindmap of the Course](http://soshnikov.com/courses/ai-for-beginners/mindmap.html)** Each lesson contains some pre-reading material (linked as **Text** above), and some executable Jupyter Notebooks, which are often specific to the framework (**PyTorch** or **TensorFlow**). The executable notebook also contains a lot of theoretical material, so to understand the topic you need to go through at least one version of the notebooks (either PyTorch or TensorFlow). There are also **Labs** available for some topics, which give you an opportunity to try applying the material you have learnt to a specific problem. diff --git a/etc/Mindmap.svg b/etc/Mindmap.svg index fabdd4fd..04ced3bb 100644 --- a/etc/Mindmap.svg +++ b/etc/Mindmap.svg @@ -1,14 +1,14 @@ -
VQ-GAN
DALL-E
CLIP
GRU
LSTM
GloVE
Word2Vec
TF/IDF
Bag of Words
Training Tricks
Architectures
Overfitting
TensorFlow
PyTorch
Multimodal Networks
Multi-Agent Systems
Deep Reinforcement Learning
Genetic Algorithms
Text Generation and GPT
Named Entity Recognition
Transformers and BERT
Generative Recurrent Networks
Recurrent Neural Networks
Language Modeling
Semantic Embeddings
Text Representation
Segmentation
Object Detection
Generative Adversarial Networks
Autoencoders and VAEs
Trasnsfer Learning
Convolutional Networks
Intro to CV. OpenCV
Intro to Frameworks
Multi-Layered Networks
Perceptron
Expert Systems
Knowledge Representation
Approaches to AI
History of AI
AI Definition
Extras
AI Ethics
Other Techniques
Natural Language Processing
Computer Vision
Neural Networks
Sybmbolic AI
Introduction to AI
AI
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